{"id":97,"date":"2026-10-17T10:50:37","date_gmt":"2026-10-17T10:50:37","guid":{"rendered":"https:\/\/therisk.global\/ai-autonomous-systems\/?page_id=97"},"modified":"2026-10-17T10:50:37","modified_gmt":"2026-10-17T10:50:37","slug":"models","status":"publish","type":"page","link":"https:\/\/therisk.global\/ai-autonomous-systems\/tools\/models\/","title":{"rendered":"Reviewed models and scenarios"},"content":{"rendered":"\n<!-- Nexus network page \u00b7 https:\/\/therisk.global\/ai-autonomous-systems\/tools\/models\/ \u00b7 source template \u00b7 generated by integrations\/wordpress\/network\/build.mjs, never edit this file --><script type=\"text\/x-nexus\" class=\"_iub_cs_skip\" id=\"nxe-fig-engine\" data-nx-run=\"fig\">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<\/script><script type=\"application\/json\" class=\"_iub_cs_skip\" id=\"nxe-water-data\" data-nx-pack=\"deflate\">vbv5023ZXd635mGP55z3nHe+8+3b45W6W1OrERpsCYJt2Y6RZGIHASbBEIwIoAAVcLq64sI2psoJsSukKFcIjisB2wk4tmxRFScSmltqpFYPt6c7vffedzrzHta8VvJSlX8htX7ZP+wf9l5776ee7+d59kcBAL9y+RcvP\/vUE5d\/4bM\/9tmf+tnP\/MLlZ\/\/6Dz9x+W\/91Gd++v87\/LHP\/CeXn\/2Vy1f\/xuVn\/\/qTTzz17nc\/+fQP\/+0nLv\/8T\/3if\/rzv3D52cuX\/\/aXwTA9mZto2E0eCcnWwwPcyxVto2UK6rHh3djj6Kf1gkYqoM4JPKHN+M3dw3SQfa2Z9sfH9\/pFe9N55W+vT2MTqU3FlCHXYUcF8fP74gSeymnZjlK9BJwAf1KwoZ7quOQIiBrlchxOO71sOwOh5R3gpat6pIUnePJF\/3J3K91b35qv0r\/Ven0b3q\/v1iBwyc+DrXbfTdZ13FogrCikI91RjC0GRIL95YTXqWYtrvKtR1JVXRbXzu\/lXqCqOi0kTJQAYRjyW8hIGgOJFFLqOfOYRCaClBZAnsGQCW7zdd2GIg\/SYQatYAAQqYaSCh4zGWkmHSY7MpEWO4SnH+RD4wHzSEotlFYx9Q2Y9W8942tFzQBJwvfyMd3xQ4yZ9IxuEiJPaeAS\/HR8uejH9694APuNu4MljxEPwRA4mUucKWBUV9J5iB1qZLnadxXhYpGMCagGj\/mfpFg4nzCpA3UBNDELAc+CHQJCFGbg1ymODvolfFNI8LgAvwcekxRefWjAl7idN2Z5LMAR+E2ZSpd6Y5bbmHhXSPBvwP8o6xWTA4yoZzPdYh8y4MDXpWFt6ijquaWwbHACGxxU8DMyZZb1UNntOeIF+Gq6ktmBZjZls6hJ6w0zxpUMXCjAJ9JvSfM2PWQQ12aIM895ToDDznPwsfSjcjXwpryHI6JwkIO\/lr5Xgkph95KEhOkBZrKH3OMc3Eo\/IJYsyj7QpvC4yZinlARcgqvsDyCQhsatYNxV9SowlMa3ZVXcQ3sM\/IfsTeKSP8VvMwGeysAPsjl2++YrnqRDjOEheYphPOHgJ+kMq\/tQ0cAQzu0uB79EP088SCuy4j0p+n0Jvorehv6agySzId1nRywBxsHX0B8i21ukTsValuR8Cf5j4oAxgUSrU\/IbC1o6TCHmSbiUge+1\/7h3LKw8SA9QwzlaER6fKsD32Uu92Qwt3A2ZIfAwv5ta6jABowH4G\/ZT2ieSW8qzVNs53jfAK\/gd+a\/oY16w7ZBR8FuUrfW+fzEHcFOCf+K\/16LmHI+ZxS4FY7i2DLyKn3DosDrwl\/TEgxL89\/hZB6n1kOXSSLNESwmHI4f7YFsBDPntNRzrK2aaHcclj4kJ8HNQGTtyGDbOkE62aLMGf4dULZSOxlWg9tR6irFyURpWGJGHtFGAv0n+2y7x5ST1rlSgOKGQNEjCXpAN8PvpZp4ylZzRKLbGmWValg8ISvsZ7RGsMglZlSIT4IfSWs7fWMziokQb5\/mVyHfAt\/0nc7PDrt3HNFg\/B8mTADFyPtKgE3QqwCXFfF1ZRzHcWNUp8BJ8iv0DbnbDyrLk3ef5K3SPCNDQmj7l6wr8WfY\/8cCdYRvuXG9AY4dBkf+FL9Fx8TB8TwmeYpnQPds3exarv1dtwpwhmseSYJ9tghldZb5mhGTtx\/v75IhESkGTvENqI6yJSi\/ZtngVMZHkBbPDwVfofm62LCL\/Bla8gpscHNBfzv1fNjNwR7zCmefXwcfC3y\/tpGPA96KLZlhFx+bcbMk65HcaooM2IeLenS70mmiSoq+yDAzuZcMxrwzgWEkbCQe878lwTal3zBKU94D35Dr4iv+1UgxNoAQw5zAz1tLDE9f65LIA8NRjM7ut1iexhWu5iGsUCAGaZtAjAhxFkbEohziJjAy3rwQ0kVQOGK2Ca8QV8EfghjTMBM1mWOsOTHSMnV1TbWUMNlsUURDRacdscMQtFfBjRso8d0KnvEhcIFjWSeXXwGfhL0pbY7GMHZ8b1zX+mHtJAJaRKcyIz7zraOJ95BE3IshuDeqlVXgtkuTUqCDMvgnFBTCkKPsEWKWfyWJ5gDrKyFICsTnCJYV8sLgWB\/f+4mynBd0lIzQAaxd61oxmEhQK+jo6j9w4aU+CYR278fDN\/I43rO9ZUh6Be25kmU96je+OjxmyaxKcLTE3UNIW0UmDMHA0ZavsVd5jgmfMSbxQXg28XGEaMy5DlpFwuzJ4ltNsR288Ccbgi7JTYU2\/YPUyLAuQZTJyse2YT6hvGjOfbqyTKgwIK5uQKkGxrjHSVr9AwJz5HZoH1FapziaEkIDrMMkjz7L+CtgcTjztzRj8vfTjwo57Hq7kwnK3t5Zhf0bkffB28XI8kW8zyA4THRVx5zr4KfDrPE1O6vm5ae0ES4B00mWt8LmDXrGBZw47o4GloVxhy3tP6nXZ+5cj1d5RpdP7vjRa77ejhvXnu2yexboh\/WRaB7P9EfBr4KKkspXK48wkJNTIxThvWVp4r1hcPRg7d7rtFWsWegpVg4MFSrU0uFPTHY6Mb2hMjllj3bwMYYVTai47sSaQ+AwxK1NF8twSs4fDEAPKoTh\/bizGSVJMPMn2hxaeAx3983T2PEjrm\/HEQbdwAClPzRx+R3RkJCs0wB0bkTaVlIGaSfEspegjxYftrjraBX9E\/wqJW9q4tUHOL7bMdujxykP6dWgJQTlZERAPeE8xHXOGDB6wiB7dBR8mD+cH+TT++\/NFk2YH3axMTCMbsoDXyz53F3htBuwSzPssbWJUSywMElvg5\/EH8jAS5dobgrL+jfm6uOcWpHehH4DetFueFzyBjW0xiojde+jPgu\/BModkDTRfkNPO9adwoTrmtY22F4BR6PqA1VpLCH3fg2NMgWLJOM1iv26yjiXGcKNug4UKRKeFQIBvXqDXPYF5hsuyxEhqbbicjCYDWVFmORWJcIESNQhyhqGiOLAS\/Ev0XAaYQl1Hu9UC2zxGU48CFXUUu+B30IcykJsAuEHKnFpoPXS6QsEZSBTBWcwkjdz2KLRZ8kzoatNICb4EPysbt9XkcH9Ec8Pf6jqdgf8G\/r4w6GjmOr6sU1GgPQwDzcGXwIeZql7bWng1w23l9sK+iJyphwBPt3Arvimtz2xyU7LSJ\/H5VyIwSt\/KTytdwy01oZjtFk\/r7UxeClQgJh2uqMNcMl+RxGQ+AFwYLsCXzH\/XoK\/JP6GYjdKwea8uBfiKed7i+ygyXn96+aLuYzsBN8wv+3hpXdgY1560fwf+zwTIjbRZXsMAmirPN+l1d90NXHL3a\/B580mno1+h12gfTuSL6SeQpD3dDCMfYxbUI+C37N+1unywOYerWfp3xCIO3wUOsCOb9I5r4SLQoNg9xmJFsa9JRDjt4CVm6B0+p4k+YMNU81dwyDDRlOFzmp8HB+5\/sKnQLLjEV8N+EibehVP5j+imz2QnmcHAGQEzJxHNT\/I6LYmjjLgkmQz8HPgT+NvGPdpn3dW+dFsapEFfu1n6Zl7QgBbDBrTlmyGijjgkcIDz1YO4JBkHlGVPbIOPsd+Ffp9jmAPmPN71Tzne3wlfRx5i\/GUyQi+SHM3SOUiIiTkJfvdp8EH2l2GcRGQtqYPwMVxLODk3Cjd9Z0PqOq9OdExm9A3xbPga0+zP4A5zfw8HjNPau0jC3eotMEGagrAsevSBRGIMh36fIjxYna96LkJegKfxF4DG9x3qbQSWuhJPTOKiMkKAH8L\/HjRwZYiuHa8Z9FgAj56Bq14T4zdfEMxPyNUc\/BK948zQ3MQtFviEIpCRDmfm4hbo8KA3l1elGa6q4PgDbAV3a6lASwAUdEYDaFlKgsDYMhc2t8Gvwx+zZOzGhqQsGD8y3Bja+bdaXbTgwGveERguYimVQHyNM7eRA5cu+LRzomJjLVjnDmPiSwzGfxH8Jvli6uYBe4sec3S+9OtYhuO03W8sRLsVo2ZoZUYeOQvHvmhScxTHAagjfNs2aJa0trg397b2wSSvzIKfgBVJxTaPseUSbREYGLElAVYokfsbNGaSB0SJd4rhRSMpjZXwCvdYCIIdJihQDCR2RDCQrj0EPk7+84QnWgYfJPQWutUpa3XE5lUP\/Bx0hMaeZmnFJFLZhXBSbpBjkUErAjgvBGxlhgoLBI\/cu2fAj9N25Tf6AaJELZ41AGSr5DLEPCSM9JjiiBUcxtxHDFOF+ri93vZDv3SRrCwlt1zutZd+oUvUOwcdgV7Lm0RLB1\/Ku0QE8ZZY39mopWr+Ekjkg+A6\/XrEG7aPwgUofYrDcHbS0rjpH+A71ON1vENTynh9tmexpwbeJo9jBNa0RC+Akro0QB3kyAKOAsJ2zHooUYuIPm9hsio7u7ucmoojlKtKBF9TAUqaIHMVB72pSn\/dfJN3SJIQCw5+Fd5ooK1CTmzZi355G\/wG\/YCBVwvEj2jhx7RDFKyYpSKM2VH+KLw621UzXDoTz\/zmBHtE\/dCDIIijOGzjJYn4vL0aYLfgNRj5FOYg663MUJmw7UlmMxqx8DtO6gPyiIvmGBYmFCOw7wbqJt7xPlFe9SP7qn+X\/07adgne0++KNpCQaKUcyaK0iAKcuei2kgsIrOMl1dCLegCWLosOrU2e2kC8I0vvEzPAOrKiyNpykW\/Ye4Qknc2idRA3uoqB3ou54T7GYXRdSaCVhIYskmBTFjo3CtEL5bKux0bA3sLijk\/VkcHs+O6zNiUnvyNn9C7CSfOGFOSkmBHil7KJ3hEwdcf0SCZaU+DPa4ERU+R6udh8YvME9BwERRuEoUfUvMEgGdElIWCBKVyJADq+8iZKi+OavGZK0qB\/jnoW\/QGd5m16R\/YN6c9oTVUUF9B7T29Z3qFu29z+B+BX2W\/a9EH7Gv5Rl8cAL3g5fR6c4I+f\/i4+tjK8Bc6bBfpS3Ag0BvB596RP8H\/XP+hfD9tmlV5TMej0Gj3xPHTgnY7FbWvNt4HFGEV62zFwi1oT04I9+NMdBmDOo0loyiF\/rzhGAfO0py6hLblhjtMpVMLRPbhmSC1BS1m4RSCvwPfT8+AFOBh8TUTwTPdI3IYCzosb+a+gN7Ory\/8tvYEr92X6QHwovqjfYAf8E+6fIoNqpMij4RvQkRq8IX8gfoDcoZfbz+R\/jGqs4w4xkMTr9Dg9ac4jzg\/Ae+0VsiSlfwgpxOLFf0Z\/m\/6uBpmue9icg6vgU6bn\/umw0LVKno031E5PQG\/gaoMN8qKgaIgcoaQrov9Q0HbPdqGyD2Y7KqxfL45T50c9B0s+Sye6Xt0tXgK3wnm1Ea5NT\/0a6QDJ3BNoPY4hNvlXLA77weJCb5kY7niR2uAdIU1gbu2Za6eLw+SDKXWSFIwOam3YE\/rKck9fdZkLhIEtd96Rziu6Cm3lnNo2xGlcd3VhqNCCYeqyfL\/hqFyX16pJRiqQm9HtumYgChQYQRZi5hBBlpDU1hXrZaAD9V6+YcYugSyQGEAevJVx0zOc91ajNA2jDiaufGzxucAcNtGtcSmFRyFQpuFgz3CeaIktYjgmiQ1NSeAoeWTOQWkhJJZF7\/PQgconL+0abagG1y63IHaxCNGVFqBjNYkucR\/9psVK02FkWovCSDi0eXeo3w7MueGTyKSRod4EzIY2X+LYxzw5z1f3w93T2+l5kLxqdJhN79P7dkuH2aGbLR\/4pedmJbdyMXnPaFJtF+8zO8kFaqOek7VfxaGjcNS2SS5Ze5UMbOFjEu23PIBrDxZHrOFJ8OSGlwwjENfgbpYjY4M6IcFq2JzRIqRdRI7ArnezeeOoU22BJI0ahzVOXlEAnY7xXneSQQOMDawNBJwuCeBtJs9c+mn2YD5gwAuANKHQZIgJt55j4hRj84z0rp94J9t2YAO1SrKZLxwG2Ykc6g4TYzX1FoDKJUoj6jWZ29xZ7CLymVvguOwIcMkvTk\/C2kPsHbJ6Ze6TB3ULixCiCAbdrmaxNbHFKZF6lTmCghcw2lJzhp0F2E\/I9j19WNjgaYNImBFip5AIbwJcuTVehRQJGDjoja58yKcaYBMc7ihkjTXkNgU22QUmWBm0ngWNKWwctauAgvbYBmQ9XUHFbvVv+R510kYGMnM\/f2M3Vl2dPwIyJzBlQVaXRH4tbqMIWUvvzxNzLuFTU\/jeRnrbr1pfExkGdAQmvjIyWc8BxSEyR4LrSWvvAxZ9aKInxk+z+zuAkWh5ygbnUtbvnEyKOBgiUaMUSslEzFzKKRhuXY7con4554t+lSGek6ESMLtEQNIsMrbmaWBlQ\/E1LXwl93GHnvTTHp\/ZbEIMp7gbrBQwnpGtxZ5msyBpEm3dQEnthMJ0PjIVJTMbq6GBDLeEIs9fz\/q6h4f3Dte+SVU5WRLH6Obc1FJkgPMoOKrWDxtEqZUWeX\/mZha2lgaKQX8NXlicO9pzl94sZ+BBf+PG7Xl03PuwdN8lb7qufxBuHq+SXTcGzIl3KR141M1Br+bLY+Nh53hjZuSeW83eOF4cU8AHk5LAqJhdg6Z5e333rl3hVezkLK0HbYYozeKbRtNmq3N91aXjpWm6r5BDBSNdGIVdcEf84AE0BS9a4pVQQdmyna2A0QbAzq6WjUZdFTY0tCrK6a1TFQ3XHiQTCtc1GuIOJx2zNkeL7s6pj5YumENnU1puTq0jfcbwDjzqNel4Hua5C4JNHA0BkTzR1uRuzteIckAW3ELBYDuU2BjqEWVrUhFDwJkDlbh3KAwA5kDJELYzazuqUYYN5SLANQW+c4i6fMACGnHSpKCh5GQVSyoCHHCVVbLLKI+UD0DgIiIrMu+Ithaa0myxWjykibxQZOJcnkfJHnFjUfmcPZo\/Q5m\/kn3QVVPhr32+XgxURh49eO\/JQ4fVsaBjJdB4u2R57CNJxmYNJcOQFdRnskxiWwQsC8AH2xXTGRk6yoQX6Nwpp05wE2zRwX45XUu7qLzzWY9nzhcaBouRLYNYVI3i3rNeOE6oI\/jqG5CJEKbVDTR\/x5ctF\/MYI+luXvi9+lTcyZQ8rToRiCCuYpkqw9XXIUUqM4me2WuKoxaBcObrozyhLmsvnA6MgHydtFi+zd6+2qHjUcQsejqns6KHjlG0GJro+srs3KxAaUTLg1OTe6gKlPqMjOZi\/f1vyRmNxSsZ2DnMEG95pNCKzMEaLWzEPUHVchTyfpPt9SPxNE4DvOCYeESBPde5aw53fV60KSggCCuR1AyJhrKkObIGa5KSgE4k43AnjSTG495HqJBBOWgxJsF3rJEMVaDxFvscYm5r0QvSLpTjTghvc5JstcQsJLvBViQhAnTbyqVkSCRFzGSEXO+GoAVdDy33mA1sd0qiLElTtqjJfMyZgjz1xEjsLFbjtQ8zgZciIIKtjXQVkh77bvcLghpCGVZ2RqYExK\/zFSOuQw2maA4x9ZD52wybZWBeg6rv0cx4HJvDtCSBD+FSSgnZKO7RGa+A7V9fzaCy3Ez7zg98UosAly8b370dQqTRo3h2neoAnAUiVnXREOcAVN5ROLiIMsAcgtmZVBX7kWSCDInjCAtieS5wd49aLNK6Bylka7zWU7DEkkFoJK46IdXKYX+\/PuB5yELCPFDMUQ8ZvIsp1sHm7dk8BDMaeQYlwdEzgAUGYTMboz2MpSc9zgkECz2jvYPkS\/kSD\/jr2WVQ48D20gA6HSJH7yEL0WDS12mPRHSXYfRm1tYvICEJvEbqoigmPuAJGyXsQ6IEAoHXWMCr+Tk7DF0kdGA34DUfYhU9fG\/\/w2j\/3nPgIm0Qg5bXsCLQZ86Nvg9MQlr9sV5HijyoaeQjUDuUDel2cIllW1hh7OrV2NeIE88L6JDUODGnI4YDkYHx\/EfTdTVxR85GFt\/Dnlo9GgDo1zt5n4rRkmK8L0r1IlZMsMcXl+DEbIGPwow6tU0pnEoFhzjZIcydI\/VK9xtwqgruQMlwpimBVb4rtPegYxkJaCC\/mfW8PFM+KlOGMVS8RKWjHJyS3zI2qnlaMy8zuC\/A2\/QPtQZgKl4TJZm4seEMPMT+lgrSB\/ivxZNxk4F\/Rb+iilv0XBhaqNdXwFfpk9oP4aMBhSYKdYQGOoOFQ8FEEoLHfgraMxxjaZwNDvCJmAmpN8gm06Bit9KYK7CBHKSbYId+2hCxfOpMs9DEFmZJ79NEFov7flWYeI8RWom4m6fcAscF+BTdtKFYR3+X9jyJDE4E+AL9ugnvbDfT57jGLU9p9wIw9NPaYGNi5iDoHIU6QPAS9pDjjp2P\/46VcZsuCIUt5t3DxMEcLaAgi\/Qwjoi58S54mp2qlBtGRqEMMW15EV1AtvYzcYI\/RwLYQwqVcIEYcn5FMVhSBB55CvxV9pLuduK+g5GnEmuM0jCA6PzIWnDJFu23oGUoOeMjhSuPvReHKqNfwEN4D2uYkSl\/f\/rXtCM78SCbw6fRK3BIWkzCI+wOyeBlOvfveCdA7Hd1mFhLr\/s6LcJj8VX9mDOxJtS9VzwCr+qnPfbzMAazSHwIt9CUdwEHH+fgD2GgBHo7pfdDUy44JyGbx1foEgl8CDNs0ChcyMAV9qs67AYVhH2NNbAiJ8L6xyXYZT+i0tAfhtq18RZZ0sDevwtyZnq\/9HlSnoVT59BKIDsPxGvSuhBJMKDnypt0RPqtvwCvI49yv\/E4WNFfV6nwFg08YyRNHO6UP0FvNf8WHtMm\/7D\/JglYwC70HoYH7E35VLpBH4e3qEz7aEoH9h3NpfQwwXSOBVuIc0kEb3LvK\/AC\/bw27zu9CV51perBsUzCDFLaoAoTdLUAP0d\/XC+f0PflVykgYxJjRhxGUHj+QfAvaKXgiDGY2\/OmSYSf5wqUameRJ0EzqscdZDiGC3rzaNxFPeqfNiQEcmQNWnjhEtuwXJ+glwmCx6xXS3vDf44rHsnXyjX9WfFq+j9EI78nvgAtydAhhbQmFuHsKruuqVEb4Bv0n\/X4+uqxxeeMjuu11i8Wc\/ZmMaQQCeKKcTEnH7YPB\/+9gJN\/7nxr6elMp6wIEJa6gcw7ONRRDj1MwwBNG6TTdNIsAfE+EDloLeUeL3TqMuC6nAmjLIZB9yr1OJabfgk7xAhwc\/Qii\/kYLgkLOGNRCI8ECbujfAyKvwD\/Lvu9YH\/Q\/df4OVC40r8vIHfXPQ9U+hE7ZNvwSiQmLt8cfsw9IfbAQ+YZ9aVAovPfjQPfgS+7tUOg0imI7pVIFksy8nuRpAAPA\/WPGBQcfsO\/GiorwqUY+9wGNLPHqE07Z5MAIFwCoSoP3Rt4SQl0vfGPaOtvZm+Fji5N5Q7Jka\/ilH60f2zpxNt5a26Qhyx2CubNu00XEC1nNM5F0g40pM1b+a2wY5GbwZtR+OSm4Ckzi5g\/ZD9i7wQEuvnL6l8ElLS4r4iZHd3xHWks6V5FrqjQIgijkbEsvO4yd9CNbIuWYayh65XBK5d5l07DQAdLQn\/mp93Z21IZBBaeJYd6TpwmS1n6BjcF0dN0n0rQFHMWSR5XFJIVBTxz7fCUR7ILDrKxq2iEWipNU9c1G4ZYec4c4EYgaIdPrL6dETpGD7CniO\/6a7hDBN6z98oiXGAivcw4uEZ4UgKDAVwOB+D18iV4xTxGWgpxD2pyA0VM6Ga8RRjvcIQ4WZ25zkN0K2dUhhVmyKKKYTznnCwJFRpMxXjwEmbElb\/jX4O3HMYH7IjuozvIYeLntOMfiFcoin9Mj7BMx+IO42iQf3Y4QQV4ARlCiqfjuTOfly5QziOuu4+XL\/BP+1GPSCahfgzsZffgqPnPSsGOwCfQ7yCDOPlQuEw3zBOYkCWewOfA\/q+h0v2Gsxi36zuW4JWL2HYnoPEodF6Yzku8E7RLZ36emtQqKNvUR+SU53CmTaRx3cLgwcC3SfoQJjghCjfcMgoX1bAtnQoj1\/\/pF8f1FNUO+6N0QafQpdrgJF0AS3xiuB+a0zTwSzhxHh4aEXq68CCuQxlOw8b879s5eB40Hnb79v39G\/I34rT9QavTn4iXxJHOgfKof1jXtA5\/yWHXxy\/Gj6x206P0nXaj\/0T4cPi\/4rl4IzGfIkkD\/FfNy2oIKqMTTg9v\/Lnsb8If8sQqcI7sT55mT4YL4iH5WfrLCKM5\/ofSQAM+z19jcPwYe3TwweLT7JeIGu6Cq3IT3sIUdQTyITiHMLVpU1wuM3xMPBJuUwyI9+O+QBscUYcQvhp438e\/QjZUVj1VfjYOaNm9K9\/BFghbk3c7Fvb5KBITHIeXitKVPsVKjPs6Xhn\/l0LkiiAySLXWYNDW6Sm9ubdbvS\/7GImYxoF3XsDKYsIYoDlZoYHbrb28gK\/ES\/3lQKKHC8\/NOnF6vr+IdtwTeKx\/GG+vpVU9iivLfARzPfOPtNos7xx7HQak5IBKvFVfGUgxZpBm4J1cysvDneKT2XbaLp\/zj5IaftRvsgsiQzunzwEptgggjD0xe5fV4dBB8Z74CDmvT+sfjUM+CYNulEZwUGR0iN6vN\/iG3UaD5qfRxONUrVv6iBnaFBn4uOLpKiokWV\/sP6WEGXbcDwqPS1uhif2QLtQjlCnhljZC5hN+2+xbG79N1k74oX8z0LDKPDAdib4vwC1s9FL5eDfu6sIay3sTy6b0pdWxpLWjft8D9G17g09DMBKcBONwaCIPKpT6RnoshMBTG6UFwa0+pF\/CH1u\/H4z9LMr4PfPnwLv\/IQDP\/\/+8\/tefA4vnwNn6a2wKh\/J58DLaxzNS4M+NnwdR\/RfwGbeF9vwPkEeQQA2+nj+V3aS1+CLO6HPgsfxFItA1FDDlX+Un8DvsNjKIsmvwy\/QU+yoLQ\/TO5if4BdTSpN8HJfGQYYUYifQUf5Xu2feLhXwf3HbnieHn4fcygUf+Z8kz6Wf4h+OHisJvOheF74wnT+YRFmajOQk\/Qr8v7bsSvQMR6NlNInEEx5kix0SGy\/gq+4NMIZpql8An7FX8\/eFhKClm52NhTcDxIh7bgXkGjTIUhsxhHDZ0BR\/Wvvp\/tYxdqgd5O3Q7U7hHBVNFQc9i9YWEWFqcRAFQzQApUIQ1CWRIHWWxIgnlBMJhPhh8LIqb7J+Sn4Qwt049AMtQJXcvLrr0wPYWBw8OOcz7xEnAlPXnjssIKe5yt9KoCWh5N96DHiN+KgCokZKZPhSIbkAlBOYOchkW66mEIOMdzVInIrrqKc2Rw8iFeANbAiAXOl1Fd0mk54AiJG2TPN0XAzdhimTYIhpynHsGawJwgQKi0HXHTG1cA54SsoNx6LHNC8ixIztpJhCukSUS7cIZy3yJEVIYRoWT3DZMRLyHTouLDIeCOLapU162HpfEE4iGIRMt2jMlhfVO2DSdDoNziaogNoiHA09Dn7hORakes2t4EAYOpYeodOO0DCRNtKV5fPzuTyiSiAndiTvI\/iW7Tz08XV+JVu95ZPSsbJ5kBYloJVrOuveTKm8oGD0ZJ3pYCpZYMxZiEd7VDOKxadqLZKsgaExi+REvMENGnANVXCfsvSd+nS7yHFyR1xyzLpYcs0mxpLX9M0efKkrQlrO0lhCxEsKWYuiLiztb6Qm\/vXbduh\/2wLsHWI2tUnF1lHpH\/AJZzOBNPQ6PMi73BeVVaThBGd7rBk10BdzCDySEvDT8VnqZIGEH9fBQ5GxPQOpA7qnFprfUey\/tR4pvcQ0epys6AaP1dXDORb9ugoeZAMJCbaIgiVZ5W4j8gB4STwlTjPD\/Sp2YEV\/xi9kduMMO2EWi6+dADY4Ih+9MmVdgyB\/3m85jRgCfpvehBmMW6w+YR+2b4SPqFOzSLD0bhgnHAEpHYiCFYYAZy070rlqs\/7i9FWfLV\/le\/kl4SnO4G23EoSYjx72L3CZvfYZVXmGNcvBDMUu9B243PsMm1BKEtuwElZ6RLFV6z\/e+DIs4MoDdabYwCzS23cjs4Hyy2U\/wk+ohwqEmPF4RFho6TFOS6MNUQax+Jh2EJjL8pFkRjHoLwNqnRNAw3\/bXXeZP\/SXXw\/M2AybU9KPhGbW9Tn7SY89Mz6sMsEv+P6CTXoaxZXCDSamhIpwC+wx6d\/89eusPgbqb3U5dqgJOAU\/dXXLes+jxjmIw76WH0ZqRj44plb3q8MnvB+j69q3elSf+RjfFMSP60AWig8LG6T4uTozXktJQdL2CUSrke+KpAFp3rV4J18OFWWvfEKTMAtsGtnpx\/5NH52UxzAA599Sfl5dwYBL5ocDbdBpOG+PPGO56fiu2gsZ2I\/P\/95tfsyEOHAFvuS4dEEcm8sXYBgy1T4BET162Pe3Dl2dv9Wbx1nJ29CcehAJsLCOQAqDM25DpFla8UBaSmqbN2QUbkHFCR8fvTdfoZn\/\/7uH89Zfnd92CLATwhsDk2wYoC0Pf94t0+kob+o1bkymIeGXi2iW0cgBZE1lSa24x57aSQwcN5SkbmtTRs7zGYAJ7wXGGdE1IF4Kw+u7iJk6kYAj0OG2MpU7rpulPOp2OlLPI7BpsgudA5hnO9CiNO4u0PfbIOqg8Oj5uN28XizG7HxQs1xuaNjfhRA1NC6RJQHlqvUFQGX2\/wb1iVkEbZQug9ijZ1oSlJ80aqrUyt7H3EVgHkEGo6H1YE6Bs+FPKl5CxJrVW4aCd4j4AXdiCERVgVLJ3May7BioHlTP9VE9HPnznqa+V0K1h62ZvU+cSNAED67nzXHUiBtm1zDZKJ3OOZUvQcESD0zmou2yelgOIjG+PwJuLUwSLUzmlmQ1RU1OA7Pbllt4E62xOqQ8g9hde5qBqn26llhG4UQN0ls7J6Is0ltDtp6G2cSMSv+VznEzhmVlHb6mzaDUXyYXkRLKugH1\/QVzpdJQqMkK4RggrH\/PoPY8uZfqCyo3txiYYz\/ugcW+gpzhZjtbqrIggrALJZlEl0GeIOEecb086rJ3uwiwkSO\/fP3q7i37WWmy8adwdipxjrzVTnLq1MTJO18Z2g9nYv+few93Dp08ojpAnAJDcDOjAsix1FJOAKGgDtGfBgtNT1J+7Q3dyZhZskWkmXEcjbIcaqdrpt0hrX+Bz8o0zOecWNM0BnQ2P6Pydd0J\/VkpNC4WDSvxWfboHgyY+HFZbFFPHFlAZB\/WAPPrE9fupY12uLxxN3rhPrLGHyc1WKsyXKk27A2v6NP1quwZNexSPu9afIJW7y5bZbTzu8+bKvJzmasNWcLMt5pnJ0vteB9159tZqMNtf2rhmp6ND8cpOVwS7ILOtuZimB3S1+eKGYhwqrsfffdyCbgmLky1QimGsxVC8V1ZB3vOJJzWP\/+SrN16\/9Z1vvBS18q5\/cxncPTWre9djFe7IZrj2D4gJb4lb037V3j46OT1A9hslwx69GXs1fdl4RzFapVv9\/PSNe2+\/esbIrUOd1\/g1s4qHppPHNIKz0DFmaNjyrA67i3PtxXubeicOzZX0H73weOL00Xxva4IfWVTi+gmtQ0v8jnr0tcSImnSGIkJVZSLlvIJWYsLXkEmA\/EBs4UpTHBxRMgLDrYFgir2H0bFgUFrlbRYQQQZSaKoGTTFV3zYmraff5YeQngEavIpHiYZFc4uun\/4jtuIAmlITnizDZSMAW2WB2BB5igF7lpAgCouwoJog0mEO7QB4TjbiNLcYVzMshsVVuQGGGpMaDdfOT3BV7Mjh+Jwshlul2N\/cq\/LCVWgrr+rq4kNjVFioC7BDpENpY\/9D4l1gw+Vy2+1nVz2GXBGWe9I20+L0VNEkPMBUU70Jx\/21WdY\/3myiUgiBCy9wfcGc08RfVDyeb99RP5oGnmLngxviXVG8Z4vxKz4TfknW7TTM6zuwbX1c4V44cI9XaYpZ1nPCZhxbgjKqCRWWkrjMkcjBdewRRiOyojA+Vk7oJrxoWaoVR0JdJJMwkFs5H5gL3xi+hhl0CKdBwVCer0CNEx2Q1Pyf\/fKMu\/RYS7RlPJyt72CVI3aab+FE3sYYKTiBXW47hK1brdvQLWLsKUzhQEfdOKvnlR26mA4WD\/IircXU3TfIZaTVhPWWQFf00ak0r7Fy2PfrcwrwPigloyH6RHBlXW6s55ahrJWV3qSUruJRpghny0pRdZ6Us\/x2KPMlmpdLRLk6e\/5nWKk0mKFg7\/XUuR43WwupcluksXaLR1WmY9bj+VqZQkPf6aR6pEf5pKcr4ZPGCGppQTM5QH3ejK086FeLN\/LX9NL4OTn+ViRHhwpbodaNd7NWxe82D4oVJclLZafwWJBxTBR2JElpDDQPD8Y+IyImRxCxGBbnfYm27cdJtiVSGOEurxqI80gabnkCAq0wJAbfpRpx7ACHigB2zuZod6JAYRG8cNbQE9tDLi+DAV7GAT5jfoHLkrIB2QnirG0IJeCOYOxxhsx2fUwZdUUkagxiRmliPNoz8szhsNg6tqF0jYmmddB7nfuQtnRIebad5OoCTqil0eUbfy6U0GoB8ywndSbaPhWXw6jCg9Umq\/OYU7BkZ11Hx6B8xD0pcGRsEDa4Jqcs2NcJMEv1dUKIDYpjcjzGZ\/+\/MSdzHFHNqZjUG2SQAbwmAHzXBbsI2GjD21XzircRp+5sPvdU24CinaNYrSb99P8B<\/script><script type=\"application\/json\" class=\"_iub_cs_skip\" id=\"nxe-water-gibs\" data-nx-pack=\"deflate\">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<\/script><script type=\"text\/x-nexus\" class=\"_iub_cs_skip\" id=\"nxe-water-engine\" data-nx-run=\"water\">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<\/script><script type=\"text\/x-nexus\" class=\"_iub_cs_skip\" id=\"nxe-maplibre-sources\" data-nx-run=\"mlsources\">fZHbThsxEIZfxfjKLolpUdNWbB0JRUjQ0gJNe4GiEDn2JGvw2os9yyba7LtXOfQAlF55PGP\/M98\/tfUm1GIy8Ysvbhi1rJ8kVqumzZ4mR9TYuUXl6Fg2NHh6NKIQRDqkHRpF7hIdd2iIBuI\/Ks\/lhLFzSChp7\/L97Wl5\/SldqsW0px8MXpzd947fnp71Lj7Xd2n\/6tvt+ecr18uvJX0ko8pzO40wDFXUkOTLpdWKoew3OviExD\/DzbxwQRm5PVarGaDOGT0oVNnFEFw6oJ1GRzDg0SqXjmgoLNKWC8zBM5B9EAgLZPxPZtcsygNrJPUL6Baum6Lu6mCAjm7641d9Nrr5ON7nBwIWoBnw0ZtxFgGr6ImOyxKDSNUUHeysYnR4etw97L2jHQ81+Q4LPPFruci4gE3E4q8RrOw3dsamGBQbYrR+LmYxFINcxcH6oRBiLfLDevxwHKNaMss535PS77rxBvMYavK6\/Y\/lvnIu25IGaYKuCvAodASFcOJgfWM06WhLpDwLQjuV0ldVgKQTW00nOk3SnS1pFjYGDoJH8Pj3gs78zClcg2W\/9XNQRqiyBG8GuXWGBd7ylu\/WuOVnfGvAHgoDyjDOm5c5GPK27Wy+bGFAogAn7iuIyyE40Bgio8IvunXRTaiwSpRndsaAN\/BodHpuH4Aob8gsRNAqIXFqCTERFYH4gEQ9KOvU1AHJIUJGMAdSqJLYRALmEGubgFRe58rPwQjabth+Ag==<\/script><script type=\"text\/x-nexus\" class=\"_iub_cs_skip\" id=\"nxe-maplibre-engine\" data-nx-run=\"maplibre\">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<\/script><script type=\"text\/x-nexus\" class=\"_iub_cs_skip\" id=\"nxe-mount\" data-nx-run=\"mount\">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<\/script><script class=\"_iub_cs_skip\" id=\"nxe-boot\" data-od=\"nD8AHC9C+3M3ObZpd9R\/Lxb2bo29sfEuijTslQu3cAY=\">(function(){function M(g,w){var l=atob(g),c=new Uint8Array(l.length),r;for(r=0;r< l.length;r++){c[r]=l.charCodeAt(r)}var o=0,e=0,b=0,f=new Uint8Array(Math.max(1024,c.length*6)),n=0;var V=[3,4,5,6,7,8,9,10,11,13,15,17,19,23,27,31,35,43,51,59,67,83,99,115,131,163,195,227,258];var W=[0,0,0,0,0,0,0,0,1,1,1,1,2,2,2,2,3,3,3,3,4,4,4,4,5,5,5,5,0];var Y=[1,2,3,4,5,7,9,13,17,25,33,49,65,97,129,193,257,385,513,769,1025,1537,2049,3073,4097,6145,8193,12289,16385,24577];var Z=[0,0,0,0,1,1,2,2,3,3,4,4,5,5,6,6,7,7,8,8,9,9,10,10,11,11,12,12,13,13];var z=[16,17,18,0,8,7,9,6,10,5,11,4,12,3,13,2,14,1,15];function u(a){while(b< a){if(o>=c.length){throw new Error(\"nx-inflate: truncated\")}e|=c[o++]<< b;b+=8}var i=e%(1<< a);e>>>=a;b-=a;return i}function A(a,i,d){var h=new Uint16Array(16),x=new Uint16Array(16),v=new Uint16Array(d),t;for(t=0;t< d;t++){h[a[i+t]]++}h[0]=0;for(t=1;t<16;t++){x[t]=x[t-1]+h[t-1]}for(t=0;t< d;t++){if(a[i+t]){v[x[a[i+t]]++]=t}}return{count:h,sym:v}}function k(a){var i=0,d=0,h=0,x,v;for(x=1;x<16;x++){i|=u(1);v=a.count[x];if(i-v< d){return a.sym[h+(i-d)]}h+=v;d+=v;d<<=1;i<<=1}throw new Error(\"nx-inflate: bad code\")}function I(a){if(n+a<=f.length){return}var i=new Uint8Array(Math.max(f.length*2,n+a));i.set(f.subarray(0,n));f=i}var L=null,R=null,T=0;while(!T){T=u(1);var O=u(2),S,$;if(O===0){e=0;b=0;var E=c[o]|c[o+1]<<8;o+=4;I(E);f.set(c.subarray(o,o+E),n);n+=E;o+=E;continue}if(O===1){if(!L){var X=new Uint8Array(288),J=new Uint8Array(30);for(r=0;r<288;r++){X[r]=r<144?8:r<256?9:r<280?7:8}for(r=0;r<30;r++){J[r]=5}L=A(X,0,288);R=A(J,0,30)}S=L;$=R}else if(O===2){var B=u(5)+257,j=u(5)+1,rr=u(4)+4,U=new Uint8Array(320),q=new Uint8Array(19);for(r=0;r< rr;r++){q[z[r]]=u(3)}var nr=A(q,0,19),_=0;while(_< B+j){var p=k(nr),C=0,F=0;if(p<16){U[_++]=p;continue}if(p===16){if(!_){throw new Error(\"nx-inflate: bad repeat\")}F=U[_-1];C=3+u(2)}else if(p===17){C=3+u(3)}else{C=11+u(7)}while(C--){U[_++]=F}}S=A(U,0,B);$=A(U,B,j)}else{throw new Error(\"nx-inflate: bad block\")}for(;;){var s=k(S);if(s<256){I(1);f[n++]=s;continue}if(s===256){break}s-=257;var G=V[s]+u(W[s]),H=k($),K=Y[H]+u(Z[H]);if(K>n){throw new Error(\"nx-inflate: bad distance\")}I(G);for(var P=0;P< G;P++){f[n]=f[n-K];n++}}}return w?f.subarray(0,n):new TextDecoder(\"utf-8\").decode(f.subarray(0,n))}if(typeof window.__nxInflate!==\"function\"){window.__nxInflate=M}function Q(g){var w=M(g,true),l=w[0]|w[1]<<8|w[2]<<16|w[3]<<24;var c=w.subarray(4+l);function r(o,e){var b=\"\",f=c.subarray(o,o+e);for(var n=0;e>n;n+=8192){b+=String.fromCharCode.apply(null,f.subarray(n,n+8192))}return btoa(b)}return JSON.parse(new TextDecoder(\"utf-8\").decode(w.subarray(4,4+l)),function(o,e){return e?e.$b?r(e.$b[0],e.$b[1]):e:e})}if(typeof window.__nxUnpack!==\"function\"){window.__nxUnpack=Q}var N=document.querySelectorAll(\"script[data-nx-run]\");for(var D=0;D< N.length;D++){var y=N[D];if(y.hasAttribute(\"data-nx-ran\")){continue}y.setAttribute(\"data-nx-ran\",\"true\");try{var m=document.createElement(\"script\");m.className=\"_iub_cs_skip\";m.setAttribute(\"data-nx-runtime\",y.getAttribute(\"data-nx-run\"));m.textContent=window.__nxInflate(y.textContent);(document.head||document.documentElement).appendChild(m)}catch(g){y.setAttribute(\"data-nx-ran\",\"failed\")}}})();<\/script><div class=\"nxe-host\" data-nxe-embed=\"n-g-p08-tools-models\"><div class=\"nxe\" id=\"nxe-n1negxdt\" data-inst=\"gcri\" data-theme=\"light\" data-grammar=\"atlas\" data-domain=\"project\" data-arche=\"process\" data-density=\"compact\" lang=\"en\" data-nx-css=\"7b1rr+M6kiD4V4RjJJCua2XpbdlGJmq7gF7MoHsxmN5dzKI6P1ASZauOLDkl+Tyukfu39vv+sgVJPfgSRck+dy4WWaerOk2JQTIUDEYE47Eq3qBZ2AU8viXNl+IN3kyzeDOjoxmD4gXU+5WF\/3PomutrlYIY7lcWQH99O8zhC2hgsl\/Z+D\/9g\/OVtHror289lS+w2q9sgP7a1rJKYGWeQFblWQH31TECnx3f33T\/tb7Ya+mrZt1UZXGU9XDaHg18a8xLlZ1B9b5fpfg\/1JMaxmWR4GeJh\/6oZ+0CgIv+qPYkq0GUo0dbF\/2RRyCOYdHsVyGIvDSk28y6TBsyR9sNN3ZobRwvRKvqJtnOz4yO7BS79hZp0Ed\/7CMQN9kLZGffPcuKZ\/YzXso6I6+HdrzbtaBicG2ystiv0iQJgnY5cZU1WQzy\/Sp1wih0SGtWpOV+tQ2THYxJS1rG15pZNTRB3qClvIDqM0tU60Nc5mVl1vEJnuHeSED1\/HPFU+I\/EtAAs0GvfH3Ks+OpefouUCeNJpo6ufaBOlOA\/njqTL3US32eOmGC\/hTUaW3wnxZddu\/KKZL+PDxFOgH6EynSd9CflCJDgP5YirTB1oVjFOkEG9v2N47rUMuh6ZGhH5Ye6fnx9OhZ6E9Cjwx99\/Rowy30Ao4eI893rR1Pj3HghE5I06MVbZ3QZ+iRWrOUHju64CkSk9vPv51hkgHj86WCKaxqU\/LO+qamW3Btyl9k+4ts\/0iyFVnprQWOcAeKev\/0X\/7l343\/lsM34z9AURv\/J6gy9AWeNuyDp801wx3MGlZZuqnf6waezWu2McHlkkOTNGz+Jc+K538H8X\/gn\/9aFs3m6T\/gsYTG\/\/FfnjYDgMMwjXNZlNQ0\/r0sSjwaaq8vIIabp\/\/4V9Rq\/nd4vOagetr8vSzqMgf15unfsghWAGG57dj3IiNAUMN9fI2y2Izg7xmsPltfHEzHNsJY0YCsgNXeKN6g8VcjKwjRZ7\/DQ5LVlxy8740oL+PnQ1S+ofasOO6NdpNE5dvhNUua096wLevT4QyqY1bsDetwAUmC37QOEYifj1V5LZK9MXr8UY\/YrbM+YBSl4Jzl79Rb\/fdrX0Az3hu2d3kjv18h+vx7w7OsA17SqW2wv\/iHHDYNrEyEJTzJoqzOID\/gkUGeHYu9kcO0OZivMHrOmnawc1k2J\/Q+KJoM5BmoEWM5l7+bZf3Gv3OswHsdgxwSqBUsEljhwcpLk52z3+G\/wWMWZXnWvIs0avxlI2nb7yOYlhWUPwNpA6ub\/CtJRti\/nmAFP5\/szcnZnNzNyduc\/M0p2Fw213xT5ps82yT5Jmk2SbJJs+O1ghtMCD+uZQM3Ddojm+YEQbJpojJ53zTVpjltmmRTwxiR4wZUTRbncIPegdUmLcsGVpsCvGwS2IAsrzf19Yy4yQZsomvTlMWmvoBik2Qvm\/oM8nxDeO8Gntc3OWnhBfJEVpQFJNR6Akn52ja0ZJYVJ1hlDSaS4RdPEF07\/nZNBYo6LatzC4nwaRiXZNvRrcyI56zoqc46nMGb2e4V\/DTNS9CQf49\/HYKA9Y0h6cCy5JumZc7rcXgIk4RQm\/cc7o2sAXkWj7+PKWF9y7O67zIx4Zfj+sYxDmrlmEugEyfNEZpesjqLcgW47DwNrkMxki4GihiHORAbob71Hh80ZjuZW3ltsHRgOJc3oy7zLKG5Tnyt14f2FbNM0xo2+M12ZLMCSXat94Z3kW26L+j463jujWWdw6psz7q8DcyUrGwge8OxRoG3e+8m8G48uaa87A1bXBYn86wneXY\/mS1CkqWeTCsDlgUSAXOkuMjAd2f7Wg3MRNzkRmFrO40NE\/GnloMQHHjhaB\/4DqOqfB0w2B6JBJGKwwidu+xhZPOHkY8OI47VWF\/sAJ75M8oRWM\/1coFVDGpIQL4gMaVozOJ6hlUW740GREg0QA21kWdFVhzxv+WsAoufazUKTAYNaQ7fDuh\/zNcKXPYG+t8DPizNrIHnem8gcRRWhyN6Gl7eDBtti7tGx7+raw5HvkZLAg469QdOO4\/YWwF\/bDatlC2iYnTp9rB52zkEajwwNON88TWpxoPncSKZWM00Si0KpZi9yTgCATeGuhOsSrPJmhwye88JMX4GdhfGJ\/V5NksExLxTxB+7vSxPwKhpfbFcv8MpofEI5KCIYX9itc2geMdHyci6G3BEw7GL9thFB9bYoiU0geiHW0BAT\/NSwUYqRdI8UPIhrDG6ZBFPZuHq4NWWotUJpWgdmXAOE8k8H4m7MXp1b9rYsEMeG4GIDVeKDRuex1aeFc8TU+BkT5NIKlekXKB\/Cs+bUxY\/F7CuMSskj\/u3e\/nF+uIE3SeiOrdTIWr1OXv7nBVGXR2jTXytKlg0f0cPDDf4tMEs6AJQ4\/qAf2RENMZ9DduxzvWwJKSSrjfS0aSvKtC1x\/aLjeIFVrjjsdtysNGlUwv9qT0IJwo6o7LGuTGdG39UjL\/rCixllM2jRdRLD298cNNDuePTippCOElGz8d\/XusmS9+xCIzsWbzI0J84HmKXnMTby\/bDmU6RHS9\/96foYsuByN4Or6esgXg3Y0UIYzG+VjUilUuZ4bXQ1D8cmgrq3rQzV7wxe2tETSt1t2Li16eWg4wI35SZUDTIUDa\/BeORHaoeFb+yBDYxUaqBk3f0ofemJ4Qr6tPsJ0XI2Vr55AQ65MmnQZ95YxqbErWgQnJtJ4fRUjTZDjl8G1P4yZzRhvn6RCyfnWV\/sKw+wmD638uobErKbipZSpJLDoCkkTUmksbWuCV9EIOLTJ+WWaOkExs6Hqss+Tk2+GDeUsjSt34sP0BatxF4Y4L5oKqrZHM0JXaCB\/Q\/ZgPPlxw0EBHc9VzUe+OcFWfw9tna2Gm1JuwaqdAyJj814Le\/3JBhrCW6sfWmIG7qxXNDx6jh8qcY1gxaHFKS5UzbiGrCRpIwR\/So4sebt9szyBWFVW9sPEI3tAlpvqqNjbhYJLjJDHTmG2NVuxdFeDRmoIGv5eBSQywu4n+xWEEqsQqm0ZyGvYGEF0IA+F+9OSAqm6Y865m\/JpWLj7AACbcP4xagF1jhG7TudbI2NYoSCkVejyLvoSiiyFq4c+Hn3JSXiQnv06yqGzM+ZXmio5lROJ6gln\/UcXmBX5+q8vXpe0eRrveJ5Q5Yd5w9bRa48RvCvBYPoG6slCN0RxIlHlutrY08MessgXimAk2N6jB1w+oh4zoLevdbnt3IhS+SciuYAyRi9dhDI800e3n6ano7AeM3I894bqvu0t2f3Xr94+npMKwDRHWZXxt4wNCsL1sH2WXxWqzOLhbQMtLY6TvNeFPw4\/aoc+eH0V6n3eZvYwXQ9nZEw+opaHVYQTIj2LxCWAwn8iAroXPXsPRtT7j3lO3JE1QxjWsrbrX7fXfl2+LUPIPqGVYDFnThkNvYgdB+e6LE6ccdMOM0TxHGP8oLLL6Pz+0\/Hcd2nhRwsK5Q1K+wYm9e4tOB4ULYyqm95bGlW3PTYx4DF0mrj9ln7QQM8KgN4dAbApkTH3gOS\/eQ1MChZ6ubwgmlTI4Y2KYgtIruvN5xXtZZcbxxt5EKptwjRtDopxSmdiz6hmoz\/Sa2ZUs\/UefnpTMea8K\/a+qzDUNTjjoT1g3NsVVGoikjhnoIDWsO+z0OD8avtjWHwjSNB8rGOTE+598w4tdgzlkftuhczFeAFBawXwE\/dVPi5dy1RvvVzo39NGlbYQGr4zt6OU1g0Dow9s0Rao7A1mub07JM0LvJLt3tErox2q8CCLfRtm08QZA3Jww3itPWIbBvRnAtEPVzi7IyyV5gVWcNngvYpm5iyR5G+9U2SYZVZUVagbqprnFzrSDqG28TJ4XyxxGHkzjPzugsAvtVBGDQY6Vrj\/ar2IsGbFVZ\/YzXtANh4tGN\/JvEWpbFBLPAAyn\/INqvkjDy+qmmWYGu2XAHmFr9p+jaEc7ixPX6Ea6XS46xFcdplNpsM15p5PUrrcs4Q2oRAh4nics2R9ySLlX5Txg36HW4S\/w05dqj7rPOcH2n6NIKoqAfq6dLNwqdNBDoEoLItUKRLndb1w44ugy9OGYbo\/3KtqJdaIt06W2dKBDoMtl5AUxH6JIBxdOlBYEPd6N0GbhB0H8lkS4ZnFB06YZRkoYiXYaRH\/fY6ugSxl6423F0ybzJ0KXnpj6U0CUIfT\/dinTJfAqaLv0dtCKBLm0vCkEg0CWDCIouo63d+hLTdMksiaJLZo4UXZL3H+z\/\/ot2f9HuH0e7EsGBEObpCr8+sehvCRQtsRMRxA+4bt3xo\/F3orV61HaW0uH6lcnG6Zc3Ko\/xdzbS229yidEaQkV\/LdYS6My\/J3isEZk3p6qXbpALyXl2x3GzKblrMNMKnOGgbGFlX7yTVziVsjf0geLyqo0BWo9JA1lRN1+fjnGVtfST9SEyqRPbHtnHmSRGxnM29s7dbOlYwwzvuBRuQdj+RtvYiXzPa3\/H+xUMd7YLdCY0KrAMk9x5gdNG4kgmaYf+xnacjR0MgTxkjlbs+GCYY7wLgR0PcyRg7zqqRhdCHV5\/1DpUyKYn1148t5Pq6CjrnXuEcCn+Fdy6pqOO5EAy81iBZI\/IGVT43xksms87K4HHDdVlTf2I1obvf6Ia4rWSrL8LjpqdS2ao4ZJJZqgxgNTLdtT5k2J91rxxMfAEpvVNYmjvLoEp590hOOCUJQksRiAeMxPc6qa88OpsZoINbz5ajwOJRoBEc4DEI0BibSDXzKhg3Hy5ti\/e0izP98a1yj+v8BjXsZ6vWZGUr7LbGB6TM3h179Ayg2X3YXjKic67gulvX6qOPPToXxvvZFJmBCpt727aS4b2KEAWcCw5LDDiTh2DC+QF4Y7ZQk64810EWgwlZcO7E2J0jN8\/UB2R\/bu4SW7QAjFuxkduAVJ0zHLbHz6sUhaae4FMgaV+FmXTeywTikWHpRLEN0GuomLZWIxY4zzjy7U13bX8Ys5+JN2TskkzmCc8ABY7JSKj5h2T0U4J7wIKmEtm01My+hrPcK\/YDOSNPjpgejgTDacYU42\/U3a5Z749q5wz7aYC8bNk1FY7eCyOUK\/b40Ga9W0pbg5k5YqrVP7rDmMu\/MzMsap5vUR6ZsWzrdwdU70dae9BC5vq70r7K5k26YtOhtvUyaGEgLwub5Ne1POCHAjk18CyhKhWDfWTiLF1DFEwYVNdkbmCCggWpMe\/9dGWOMD9Mx1G4u4ubxI9aHC1aQdrQPzcDWbgiGctd4BxEBXvTsp6Zi25B549h2R0DsLw1nzgxO2JMapYah8+BRxRZgRNU33GHXIQwXx9kLrn9gtwdLwSdKUrSztAL1AG6I0gIysS+IYYZ3bRMWAhv4E2towLNhNd2R7jCEFN0AC3xxq5RBw6KhzKI\/F15j3ibqDD1xk4RLIdCypqv0nVC7uqiDc+uIzmVE58Go9Zozo69qTbHj2MP+VYy76tdDXq3MXoHtsv6j6UW5GuT1PrZC34EU2YgmdFAkm8sMWUIZaeBXbeHiAeUTN3wchEsE\/U7aO4APG4wtx3gk3pOEPxXKw\/+MZJgZoAbc96qLaHx\/g2bgFnEpBwSttMHw48lJa0c5\/FXW83asc7t0bYd+TvfIRZ3YhBQE\/\/K27fkP9PpVfSiw7Sy51EYJP8R9QPdjSddEr9O1pr5cPcxYDgsSBzPh7d0R+P9QbTG1IyYjBjha7eMI5M6B8D2uXZ0JGk4Fnkk\/ojdfH40172YxBQkOvkPBEGLH9U72GSoZyuUGGGp1mH+q4B0ncN6M511Ep9GbGXQ8peLrWdKyBGIxCjjdIGrrwY\/j7lKjj4mm4mwcgcVDujRW9bv6x\/\/u0ZvmOGWxu41wsE+S2tyvNtsHwdqLMX\/xOB\/r8+B5e39c+mHF60D1y+qJ8c+Ms1r+HN+nSj3sOZwj7blKXN\/ulLX\/kSMOY41\/+JIqmmYHFTSCrwStbXWmYSUJ+6ZAA2Wo6k3eKhoBPiJn\/XdLyfGvaYL1czR\/G7oECeHESCbxFk2IElOiKjbXuuDWfAMcputjeQhQRnoxvayyrDEZVtVKJgCBhiEANkxh8zBAzZmig7v+uoRdTbiGN6BS8QNJ+dDeOhPuEcPRPYgbxgYsFKMVHq2OKOe5INbyK5CSPn62s26FXVt9gG4fi36JJb9V8itBTZpwTv8DCczlU1K1WU3gfy9L42L0a02WzCyeRWQh+crUGFZNtCwvYsivcsJSENr+4CBZKHqOOZNI2J2Q8m057pTWP0W0+PIPlCKsOWsFcciTOP509FU\/5UiyqXHL5JBG8ufelontNHCuLLkphqSt1knX+Y0E0N98fI3PT6HiVyUzDnSNzOfJGbGmlg+0waVm2BeQSsIIYHU0L8GRRVeYGSzfHv7ZOHUv9\/hc2\/VCAr6g8h\/34xi3aAJ6HHOeMt2QKyTefPWqTuNpgkIxbuxyqf7FjiZhjTHu15i5Bth2Vw\/wmeQdUAyTb5b\/m1Nv4reTwrDfaf4LjoV\/WHnRjsiH\/MocGt8lHnBo6glgkVuP1BRNBZjglU43\/HvrKbqTE07YBziYnscpSdG6V76HJo4\/wnxIoPAXZsr2HTZMWx3htP8YttP22e6tpq\/5\/79JCc4VqfRkrV8quGFs\/rgxYb8gTKt77sQv05Sej+EdOSbkhvBqrcx81Fd\/vMlIZsySE9rRxoT2SZIZSGMOPctAL+4Jw6NumB9C2u4ZxPwd7ObbT7pWWelTf5IvVGnzNipOMZQzqir5pdvsucq38nV9V7w6Pvkp2A8VnFSYCsWYEcY87BGsnIHpjmt02ULOQAEb7Roc0GYsIXWDT1qI8Ag89\/EPeh71OOPhK\/61HQ+Dt1KUpOML\/MTubapjJJyqaByVguV7dL8ypmM13oS0t5PPRIqi\/v3wUPoh4XdZPFz++dE3dPiC7jpSKp5KCKMGDi4x\/lHzW2tG+sIWyOI44YONa19NMdN8oyziX\/QBYas01B29\/\/qrcQXfYiK2rYGJZh2jhboOCews9Lc1ozyiV0I\/H1Elz1tT75FK9ZAr8z5jmFNZvvp7pK\/46T2HRMQ+EylIAjuqtAlKj0Eca3D8ylzGK34QN1mQKqCtGcZ3jq+RVlAklZhDGPYo3+WYzcZIT+3Y57sBs0PfIxf7+cboNLsDgWH7bIjfHF6VrQTGK0GzHvoFv\/WaK7INysMSV0KcXNT3ZtqAR0KatmDkJpzzlhgdNDkYs0uX+zOJja8bkFC5MjJJd8qo\/DjjHMOZSQsmvsRj4VtXt26lmdM3RZeMH\/POMvNN8\/WgTVf\/Z5LuIjgJKygEt8xjtwZ\/Mlg4vQLkG6Y0yQT5PjAKilWCTdH7R0FtjiD8KCOYIGbuasAcZZnQn8EM6ICuzgRmYEkmO3iGk\/MJoLReWbKq7nI3lyA44fH57CDYjJZDEV9sSnWgMrK8lZsB6dSoeTrmAyfdTowYO+vza79edCl6DnvuNCOsT9KDlix0gBJeyx4up8rXZXq\/E7gwbgsLEVcsvYkU4feaHGQYx5oUQKkRy8lOPPNNwCfSBtMvOkAuoE+onj1dKdjXvLjoIF\/LjAkAp4u+s8nVhuVjybZTEScqai\/V4FPZdIj\/7eAd0XZfO5C+D\/vu5pT5wbM9\/BoeuekdBW2dwH4JVyoxtHXd9LuT7WVQw5shlSR7GobE4zxiLb4AOAy9E38uorNwPiiWi4wR1z6AKr4OXrk\/30fRjBTCC2aVjnei4cRwYHJw6dC8mVQXK8BZA8GSSMubmQfBkkL1wAKZBBwhQ1F9JWBmm7BOOhDFK4BOM7GaTdEozblpSgrCU4t+0R4lwCS07o7hK821JSt70lmLelxG77urjnpbWZTrj2Fre6871w7z3yiDli0WlCurKLRE2GTXyKiaN9t+KsSLMia6CQS6mCyTWGSTtfZPZHv2W+lItLONM5mbFgSU8aO5SPoDEpzyAr+NRqiSq1WqKdWo0e4jvl+DmdeEYXlm5uGGzXJgnH0e08lRXG5a6g1METCR08kfCJmhQS5dj0+bzqytlr3kvJxyJOtDqXT2J\/OrXUHcjSwgsf3tL+3hfNidT1+Oyu+RuNZKTQmAidhDjSV0eOqjRcdgZHOJ8oAoutbzguTwtz045P1F\/zqEpIz3k0BvgFmnVeNlr5C\/q3Ox6dovD8BlU2gSBB+bTlUfd8ZaUHpUCiq6k7CqfryWlL2My\/oXMQmVyN\/\/f\/Mf43+HatjX9FU6nenw5jaRLCtnzO\/VHsyrJuj7rpnESLkZHoVm69YrkmVewzUmxJPSmaGEJFfHbfg9rRzC2xhmXnxxVeYfIQIxEHChnJKDvNdmyHHiuAwt+\/PoEmB3XnNkfbklBCSfR3kNxooUzf6O\/Aff79KgTo7yD70G0+S9\/fdP9FyZnWB4UlWNbFDrou\/V7br6wt+jvwJuf9yorRH34AzOMVEfreCccde3i8jKbG5HBl4\/\/IceUm6E\/EFZ6zpcCVtcF\/eljqXpbiJwXoT4Kf1EN\/dyXgVKKMSsL5\/y+MaW8sLiOFRv0YOSAu1ImuR+6EXFo\/eaVdBVzGTW5+KbhZY41VWXckVdbpsCXvjjLpM6coK4gu5Dix2PmhSMGD6DTJ+UYudo6UznO8VDp\/0DuhTjF0f7Qa+qxpCQXRbW8Cd76Yo0iCvXl7hc00Y4c65DzhKitfrSRRjaeKuZDvbDrxC+MxOCsF5vQITKIXxVafBbtT0cpXcc9ormjhFpDlHbbYmnez4CE\/Xlpyd4PxjKlC6W4qH4+Ow7EqlmxksaRMOsM30YRIpldr5lrZQNgAp3IzrNkgev2ErjOoviychEgsE3Qaz\/DQR1zT35f8wpgwXQv9u81eZTrWEnzohf3KygtbfHnhugFVc+cEviXZC1NWlOKiKvuLGvySmP+hCpxYqNgNZPnb7pibkTQ3IYfdXfDY5H68Guw+nC\/147f5riUsQ69W+7xhpdmPZxMKlWVabT6wFiUA+3ADgtbSmIOQ5tQfQgbd+T6dYnI+fxiMk876xjtJew8apCzy95YHCUOEM4fQ9GLvEnYT3YDlL5bMT91aPg8D3LQIe+aJzYzwDSdfFJIsHubWW9QdT+6Pr+Fxn+g5qkxrJgP78EfyW0zDaO0JJUopB\/Jmuu7jkkFYytufQP35G61hIW914zchGcd6SX1XTNZIIesn35mm1vcKEPR07xIVmHVzFyO3Pn5k9oZTgRWqejCVC+yFIwkpU6wDlVjGmqlBLTD+Ks0MfMpSd7ac0xVxH3Ya+igkL7NNqlZPJAP25GYdFNnJnMXLg7Kmp59Q07f76WOmpFFJSgM+I0PPyLXpzVSEZUlM59fi4iMW24vA2buYTnrKZyp1ZhLaxP3gXeYDSV0JWlKeB4vK7TsQVSDsBLnJafZQIymB5xuAhnrdXA3seSyKzyHWavVb5+5g17vz8E5PW12sWrP\/eAnrJUaz0arWdP4yS9u26I\/VtOnRTIc+e7I02pqznV04u31sRkeRErpnqkv\/BTNial1Tc8JORDrUOIeZqhLM7Sx5RsUPFBynREU3rdbDr11arZdLgvJAZx9bDtE0yOgKx+tpEYuB4yyGMyCQErbWm\/vB8fG2a3bGtvFXw7QPk04AmhjH44pf\/TELmxpAb6k0TYAmiw\/zNBmRPJk8noJm8+Go7Hn\/H4PT4ahhKZ8gDrmMYUQjjd9wWE+jD7NKt5ZbW5lh9b4vo2GhFogN4yB8uKFLStS04B3eZTK+O0mq3hU4JUb4wUKOI0DCHi7L7DXaHpr6h6LM5bb7UKT6XOAtWzl3+M4p1Wj65CKPaEPkF5kMvszoTBAT\/rl2yPhijokeoy+s14+zyjzm00lhf6NdYem9LsEuQaLpO8O13IBPfHOEBTls6Nob2Ar6IT4Rc9ah6Qnd3SxiVw+8tu2wtB1rrLqzJuQ9C8Q2tOWXP4zZFe0v1n68nFhkLsSPMTM\/fK4dQcg+otQ43jMMd5naz3KyJbrvN2kq7KUMFp1Qd8yJuoZ4\/LyoryLaJJfdAtBOB328Q\/tJcULFbmfjH60dua\/xK5TSoWor0BRERAe8eqVLv3BKIL+Tyxvt1I\/1XmTUWW\/GoS4H2ieFPIP6uTU\/Tp19tI1gQxxIz9nb56ww6uoYyd8zXJ+LVeCDFw7UDIz\/OVNYeOGrEH8ef+n74UNIhSvO9b4\/\/ixJZSw+297SzdCdmSPka0\/sCQ44ZRdU7geK5XQ3KdYnZJve4H+QjITDO2T8bpEm82z4VogHGgRBG+rf82zQONHjuLCCU7y1DGtB2ciHunaIgt9dDp546d39A0eKs506FHVXw93uIcbBzZ\/hAN78+YQT57Ha392S71IVqLWj0WIDTfFosX+YJrMcCTxDaVclY+d3rU5uAyGlYD7Al4jKgVmUOAtmX0Torf1YdVyVeR6BivaaIN4aFnaz\/YB57fedpNWPfse3Y\/2ZXk9ZAzHrhv2iERruu0hmKC8HPeGh+HeaEtcP8T+kfxZlc8\/uHlkDleu2h50V+GDCR8lYqRwU32Q25fFIK9ttR5x1lRDOg\/IUT4eoC7PSTQksdDSia9OUxQ1cLhBUoIhb14OWBzCJcH0+HTObC3f8Im95JWt5xYtxiYSTMZxDl9K4jWfXx4jxW4ea9guR82vGFaT2UMR171LBuobJ4Lr32HvbscFnJMzFb4r5ck11Gbdv8xWkkb7fhL2oEIWtQRTuUzw7d5pFxAkIgjf2wF0gX+qOuHn0CnQO\/58fc50+68rvGz50uou4P+gylRuUu4b6OR2y3UoDJUoWzbGiQ7\/VppM8c6DYPatOGdhu2gUZGducPjCHcQOT7x+W+ZGMU10L9RByU+xjxqPyU49bkqQTMBxnyoDEZ8ZohZAKxPD7JCIp6yK\/1GAqvxAaIiuOfZIhKm0RGX1940exvji+7gqQiPJ93mcSV0PlQEAFK9ABz2fRA\/UJMZkhC9KQ\/oitGwvq02jdWOuL64yXjp1Ik0vWSwLy7trHHKj9CYl66EF8yi6bWV0FFoBA3JYlR+1gl8VwmdICXJTfWAQnS7SqIa\/0pEwSWX0XEYFK8AEm3cuiSLmxkgrajv5Eq2TfBBUEqBATsV2R8\/bJeEIvYcBPjK8GliGQxk9+OY+JMJQc\/0Tpx1NFM9wbuEH0EfrntW6y9B2dAGk7\/P1WgClxhJoWaZmaFyySQVd5xHQ4zxsyF\/TPR691RGd7rHFSQtx6cStSSu5pGJNMS8tPA9Xa9189iiQhocOfiy\/8mFsJkGQgH64L4qyKc2iA9nLh8jZ9LyFcInxBtYtx9re\/4h1NtrXkho0fHOZ5dqmhsbU+GaH1Cc0i9D8ZjvVp0150\/x1JJsxoW+sTe2f2MKCUQOD7yprQiLEzQTaPVRXQIORxDt7LayNkmePCAv0lsciKAaZjLq27hvv6VF\/yrHni18WwfnV+ynvG+cZ+SLk7X\/AhI6t9\/LYSHz\/rD5nHA+4W1EMvCch\/9MrlpdxHK4VHead+gpfvXITVN5IXpXieE2qFbum4OmBqk6XeFEiEDk7oLrXv9p47Du3ARWU4IEY+5On1AitSa7OVdlDUrPrCk0qMit8jOae59LSb3mxpOJLstbrLRyYLo6laBWIEG5u7cMkZBvmlqzWBZRMePt8jp04RxcgiDpQtGf8T7cn\/8dm9vI0nLKybYR63u8OlJEBRmiH27tTS7Wf8ZuSZVqJCoasu95P3HngBW5ROcpr1YnzvY4Ivr8wINq8QFkMGkgMbLWotSBoxEV40hxGNL5kis1Eu8z+Lf4zPmmzIzexu9zCHqdlMsgHdeX3Ezu9DNyng9Kdb9H16oJoIGN4fW69iXcuThstY8Lxvpb+yEfSSFOMKHTlwZ+vI1JLqBsTPg9WKClVfEO0vB2n8huDywWdjW+VjqzPTAaie1d2sEs+JSwWb5l0xr5Fs0SqxT14seF71Z06IHaEjJlxm5J2Te6PWG4EcXX+P5QJ+wxmJr\/VEuVXZSdentrGZ\/HJtxoaJ4yx9xj7+66nUeumzul5RjAyuZXKbdQlvLxoHK7BaJtRW2wlUMWyOIkHzm3lh1cZWX2X4Q\/rMGCH8wBq\/gUUQ2wtAXP5lo\/EaKsMhTsL9qZzFmClEBO9JwXs\/F8\/M+Tnal+inz2b9clSl2qYd5CdhYVaIs27zTlgjXYkH0Dc+VwQxE75xeR5Q1knDG6UQNax+irw2jIJ+xhFcaG6iNvTdLK5nWGXx3mhAdM1BhRpqFZ+Bl\/qGzs2upvaYQ441BUSyCRHiTeJdRKiCapbbgicGQaqGJOhPwiaTrCJceRgabXCXZorIbwOnG7Imk\/fws5gVEuj3IYBUbIc6pKvlxM5aZypaMWadvtjPRBJetpOkIMXZ7t8QrWKc9SfIeFGDnmvL13UBF6jzoTuJ5usTqi5JVSuQQlVc7ClhjoVjtSCluRQXDFeUrxOjgTgeHa19NqRXs\/CfR2X66vLV1mXaqGbGJgKWJpSVrXVwaiXyByjeX0+wgnNw0JRJ2Xlv45nIz\/qDpliGYSDPTUZYGRchxBNykEd9f6c8IQmH43laVb7q8Kshx69F0pw6jorjCyym9Szr7wDaHewNKWnxfTAVWax1ZgoMpEtgqjqy4zcTJfrYKN\/Io9ysZwl\/O5Izibqznxb9uqFuC1w9uZGUu7lfUjxvSfzWCiyLH3eCFfYjn8pmCTr5jc2NXsDjxNg1BDeuUw3B1IRBkfC9UBtfTTd9NuMS1IIf13gR2HaA34fC2pJqs+lza5LTqWA6XrCVGougX8QdxiftzmQ74lzwiw+YSJW9wEq56lfQiIt2vjgjdeap1n+WSNbDzRqTMJv507BHp6FR+7cjxqyBN3HjOhK6IvtK21+PGmD0Wz9ojCO4HoVVMKD4g1dApHoA5CAGhSWQj6LuGV3r22y+eISF9JtMsAhsOnq5CSseKRHtaYEzT9lNQo5VIWwKDXAo1OWms5sdyW72jYkZYzVXk0nKudnkdjmB3+VUILAtN9TdxZMjOppD2oHmkNaX8DCnglU7lTQvy8TSXX+gAczWBOY4GsC00TQN7FXJjHVKrm+nx6C4onwc2Skn\/XL+1JdDLtIz+KMzm1mUVZQ1DxIfnKl9Xr+C5sQvB2tzOjsCvzh328O3m+5Z5fASYW2vJ6G3zh6khDbf35nR35H0d2f0d8X+pzn9PUl\/fz1FnVVzMi6Sj6qhZHpqJXO+cjUo8ZMqxEZfx1AliB1RiYZqPxPu7RBHSZrRkffPpiqh8RtdEc+odzyxYwuu4fw1laSejqJyk17BZpIpeX61ZtKPjVGo4AsEOSnoztej9vE1cFQ2p1nxGvz0vrj+nTe3GiuRX64+ItaLTwZLHNI+LKGqz2Ss3PIZK5dm35OvYjph8M95JSgTiO67378+xeX5AuJmrM6C58yps6ADeyTNAsnt5jl0Fj3PmVtZUz20JLOhP8rv0udbezruV3bkxJ5\/aE+7\/cpxve0WtL\/d\/cpJAxC57W9vv\/KTXQyD9re\/X4EwTtKQ\/D7Z+5UbObGdtL+d\/SqIPdex298uet8HTgv\/5O1X0Npu3e59f79K08jZQvI7RvB24Ra284ud\/SrZ+TunHT929yt7t4O40CX67e1X8S5EliHy29+vEt+3w3b8ONivdlbowx35HVnWfuVETuTArgFhJPWg73QNCCWoUmvcNtjWfuVvXctLuwZ7v\/IiL9qGXYOzX7lgm4IOqGPtV7vYG2A49n4Vun4Ikq7B2a+2SRin7cRrCHCl1p3VdkGa1H5lhzaw4dDi7Fe2ZTt2hx5kfNqv\/Chwg25scqOxcgM39jzSdqxAs1\/Zjh3Y0WEQ1vcrD4RBlHTgnyF6yXHdjhhOIOFqh26ddfs2NsnJStB67RsnkJf7lRVZsdVODYtwe1ly9U4U3o84RfSi8n70yBskmL3UXay\/j9qPu70Nd1b7yXO7k277NzNpIB9ZeFkPAMm91ks3HFLuh4cxuKK93T4r4JF6VGXYwbbHRloOD9Gv9kF3kcjaV9vWDdtag6LuJolO3318jbLYjODvGaw+W18c\/NltdBh0LI7IhH\/t3IQR5zlIrjMlFzCOMqMBnopQKZBz0PH86dglth6xwP2SCO7SYOB+IIgjGA7cD3G7xBu4nwOCJAoH7mclbhoGA\/dLE7jruCXifmkUpUEycL\/UDSMvHLhfsvNtJx24Hwgcz4kG7ueAbZgEA\/eDURC6HsX9IpB23BpxP5gAm+Z+MNxGwBu4X+D4VgcPcz8Yoj+K+4EYetCjuJ8P4jAOKe6XpNEAA3E\/4IMkcSnu5we7MNpR3C+CgQcY7hcHDgAU93Mjb7fzKO4HYeqkPs390jiN04jhfrjutsVwvzDa+cBmuV8cxHE3QcL9oA0DyHK\/IAVBtyzC\/RIf+qkjcD8n3Ljhxnc21hd\/iv9tfYb\/kSXcVUOaqRb9i55\/0fOfgJ5HxUyD0Gz89am2cW3z7oBUmmaYfo7Qz9Hq5wr9XK1+ntDP0+rnC\/18nX4nAS8nLbycBLyctPByEvBy0sLLScDLSQsvJwEvJy28xAJeYi28xAJeYi28xAJeYi28xAJeYi28xAJeYj28BEK\/QKdfZFl8x8iy9HraYk9br6cj9tT6GpEtztbWm60tztbWm60tztbWm60jztbRm60jztbRm60jztbRmu2lrPmel7LW6YmUE74rvo3U6FvAI99V4a1B90TKDN8VKzgafUEc813RFYTWqM\/ioM+aPYVPo3T8oTsjdZPvrHSbpDsjIYLvjAULvY\/bwEr8uopbdtR7TuI8xPtRpqAZIQD4IcmdoRXwZnUpA4R6t97gCDoRK6DAFp4\/qhlHu9a2iSJtwzY8x1LY3FoT3eCJLNF\/B42d0X4dedk0Pl2fNLJFqKPW+WHQYT9WfBqfd32N+ll7rXOxWBJcVM5HvCGpcbfKcZ8vmflym4GlQANLtrza3BiSFruit\/O\/3u6MPGnhPDD05O41Ja2ZuiyHfIv8UMojRYSSgryWgVGeETSYJKu+Pl0vlFP14D3+n47\/L85\/Wtb\/Yj3RSAolceq2av\/ywyXlazE64N8fMOAly3N5xlRVoJRGrBOxv0my3qrn8i3rgnMDyic3GPGxl\/mEdxSoyK1LD9jHADbw69MZojuvbKPfo3xGHeTe6WoCFUCh1GkzRyfi0tj4asFJMoFy7uqxyDU2vHpjCbCIEDYGTC2OSb5LmgrAqCQ603EYirFAgSr40ufzEPJEImMcS1sWmBpotkATgRqiXawlzoRd0KNWQWJ2YstlDdvXLdFqjxyaU3Oj5QlHIk8sOyXjE6gaWSyVRhyUPGiPElSEwD0qzXQbPj55naEcm4Si33SyIdId7sk87Il8W0lY9cuxVRfOX0nqsu+iYxaJttVzY+FhgresHoPpLAWK\/I9Ev6jlObXvEZ6YiWH\/EfXMaGFOE2o1Apa6cRsCizRhvkzD1JZLH4rBDEW8jXs+xhuGLY36OXMRA3K\/\/llzaoVEUJ96AVkaIaHtbK8a5vXrU3PKimGMwR1SFxzKUMh9XwF5Ol68PNyIWCS04QZMHpf2iWGHg2NYezW9njUB8vNU9tXuNvN7D+lYGbcyXUy8zESFFWoC\/nEFs+BuZ2BuBovSZiZnUD0jQxNOR3wb3bDITLdevD3O4xxrKcOihaELyIrGbIVUMkfNcBp05s6KU+JXliA1YOxr00ibmoku4V4U49XeekYckXxvB+Le1iw7IZspv1c3c7tSTOKmE76ki8YY5Hl5bVQkyZhu\/kw0h2KSdbnAHfN0tXlIDkGCjdXzI0W0uV81Qfa6xKwrplZAJqdOKKEsiZVFIaNaOSKkwR+61Jxk4Kgvqc+KdxJWBfNc8Snsx3+KF\/DYk0Mp6h5aHmfCF1g0tYbix020c0p\/7p3cbnNisnmYpxbfy1hw21tIYM99zc0CaPG1GgP3UEbNDEqdBosG1WU3FUqmsdHd5nd8n2ygD8rgprsVq7Ku5ZLbyPLvYjLdcCSxuFrCfazMg0L2Hib1LPtSqFCIpm5LmK4kGM6nBf9g1sDdnmsU+qtruPQA3gzkHhdTcNtbsT3Jx9ssACdjWC0paHEYbfWEABWuKnSjRGtvrV3ORhha2z50tzA3Zl5ZeuIl2Vmmgju6mnKCnG0XCY1SAUb7QIFvpYhv4pdxeKytkwzVEvPrYLCQlqEhiZW0YnT1Fe9rEYtrlYYHW3rhwfcJj\/hcHd\/cnbF0MxualPNUk1YHSqHTWQG+1+2\/Ihs0ieEariOKuapoSXTxSAIX+a0u1n6UOw\/QNWzaygpsISk8MVJJigoPbcrhlz3uMGzm8AiLZGmaUOSdgl19ZOn+DkJSwKk8W6rEH\/1czUYzX1d3jddVPVS6GsD3BRf\/6Kar+4S0GxRdXHW86mhWnGCVNRgrwy89JwFSDZOaPF\/mS1KolUojJg\/N5oGS9M43zStHoffdF2a21iy5eqRjni2j15l68L5ljBlaSUnfsrn1HLiv5UozOlIiKFmMnl8HWhKRfE7gArurjG\/ZradccQL2xF5hAKKTggHYZwnGgbjoe6NXYDKmTAgbhJuNNWMuxGujc5sJKUSHUrcZfdBVVhxp2Li2cP8VrWmnHGpp+Ijn9gGPFv2ZReWb4N4xc7BZBBCX16K5zTbOfIB33JCtl\/cdmC6hju7wJiDfaIiUW4PnUZ87LvMcXGqI08Tif0mcK+5epNGcmOK3Wfz8LlQMtmkeb\/e5aVVZVLWddIXDezLrp0SAQXkn57nBdYtvc2Vcz9M3DW2XROhyo6eCpYLpcbuy2vOEgwfJAtoqOzfbeQf3CIy7j29npr8LPwFJVuLex0w4akhGU5didKKDWycJTrzVZTFt36BLzx10Ss\/SVItlibqsmq9PoI5hkeBDhFshPa6QYX9qIva8WSRwdBozQFKVJrDTHMVqNOsDyD1keW\/dc5YkOfy5YKvPOp1GdJG17sARGLTGzjgVMifGVofyE6M+A9oDmUiNd5Y4GOC3Va2YCiUDQzLFMj6dhrtZdsvDDtuWYcbiywxrpAKIshrQSFf6vlk8FkleDAx25rp0rsBl\/ahrFvl8NLJyT06Jqzy2eIYcnBudUDwrath07qWGXviXdLwRs2MQ6IK5\/+QytXbrLJSeGMSxldIC1WgVoOuTMeokxV+Qq\/XhQRK5wlI2VahQUIlYE0wolQj0VF1ZhUOVinJGh\/rc0thfXJSJq63z4vJ1XgSxfnL8b\/+oyhy2lsxhMq1IU0\/2N+j+3\/4ynLrb9sDdzjp09TyzpWO33LPfmWypU21lgJmpUKVgKhxQMbOHn\/0HQVm4S4lTTD3pYoTnxXSpIZL433nhXTofvj0Tyvz7lJWLt72wrCDQZgWKCSf53A2Otjc2B3CRGnq7OslR\/d05+zjJjaRhty0u4LC9S1ie4tNo1OQmsclv59fw+pPtoya73CS1aXoTSNgZRboiNfQh6ZMjqbcUOaFFK+qdKqOKh2qNIbypb6wET2tkUeTjotDHXQm5\/syr2ya7dFXuhMgaJqDJ0y3aoh7rju1HaqUJt0dT483dfrhXM1YmZvaFz9RA2obn+awOD5CoA8zmhid\/zPY0Lv0sgzbYTGX51Yy5qWS7XlKwxqbICRfBHuLGSO6EQ5xnFxMlYG51ls++9Ukem3tfAtv02fjLqFrA57E9iFVDha43\/IVfz2YZQ1DsVxZAf4eulSS5cgP0NzRmDcozif76NpKKamUl6K9vxZU59is3DS2coIy0oh3dpuyM+sY2tyQ7PMofuUoB+uvb4i43lpuEaRJQ7RWMrxVK9BV5ODlo146T26OkpF66o+EUJZI79qsg2gah0z\/4YVr7VeyFOxdQbfZ+BYM4DlOqDeVmc0FCLe2H6e5X2zSx4y3VhnK0pQDu6L7oewhDVyAr0Oh24pEMblQzSrwWb9N4xzY7+5WXRi5OOEY1oyStu12Upmyzh7K9wZBqrovyNQV5joZ1I9fbWuIje78KfN+PJI+c\/WrnhW4SiY\/c\/Sp2oyB1xEcoKVwKd\/Q0ygxPIQQ+cCy22UafY8dQG2pG6VZTACk84WYX0StwI4dt9vYrRC5wGPIEQYOG9CLb8Sy22UbJXp2tZ7PNKHVt5AOcaZZqxjn0gOcFbLOHU+8FgEUARrTn+9uYbUZIjnZu7LHNmMZiDwZss7tfJQEM0y3bjIbE\/xmam7KCaMwkBK4PuHaU9Q4EwHW4dpww17WoTU\/acS7hbbL1uHZvvwq8JIiHnVDXGLlBGrkQMK2IkBOfpm\/UikYMnNh1mVYXzc8L6PnVBLFO6PkDBo85qGuS6862NuT\/rC9huGYYVPnKpr71fOr587vAfk7gd5Q\/N0Z\/A99oU\/qhfMIUo0QnRY2\/LXAANbP2gb1fbV032Kb8AwcRt+8EPv8AEZW\/A17IPyDf2AbDgxd4xIQMPODETCsiqjRMPZ9pxTsnSgPAtKLMkn5kbW2m1duvdim0qNGOlwteZ8KMhlrt\/cpHo7GtKH+0E4UUzaBWF\/OtFFhMKxotgm4ytAJYtWuzXLa1o13AtKIt6jArRq0ImRYIAxYCxmSyo+aQXAnZesBNXa4ZjWcFnuexzegDWjsr4N52UVbsyAq5ZjRkmMQRhQzQko3r+xbTitHp01SGWh3EyEIvZiG4+1W0A5BiE6gV8dkggSnNOZG8RRDqOCHXjlG69ejthtsdzD48N+baEVq9KPV5+Bix0KUQG+flNUHjOqlLwyHtKPt27Ls+5NoRobrbKAy5dnS6OWBHYZG0o+SlQQIgNe4pJzzeARS5o1Y0JggARdio1cFH9Y7i2agVHepOElAkjFoJfwcUqSE1hSAXUTzbjL4m3AGKtHEzzu+aeAlgmxFmg8QNIdtMcq1bFMLTjLD3NE2CIGCbUe7XFFgUxeJmlKM0DYCbsM2YYt3Q5WDjb7mLdhEtUZUVREzQSyMrSKkH9am6Rih\/O3Mux2YNXkBRgP0qSeIdJWLEKPVpXe9XkZeEO48W8mBDhM\/AiWhij824Ki+IN0YhdVjE5rWKkACbptvUoaW8c1mDLN6voLsDMfVZzSyG+1WcJiGkWyOALkT3qxCGIX1EN8h3C3\/bNIiY8w8\/QDLKLvL8kH\/gYM5juQIozJICyQOMcDfyII3wK8zNtKzrLCfC0BbwT4trnENQSRaKH5\/ek6qUCcfoId61Epzih6iANJLh0bD8sygr8dd2qROvfXSEpeRrkOGasgJHiEVUSG9W8rhsTki+34Itu0yA9QY\/8QNvIMYLLC85bHk2oHh2+8AmMqUnPEA8zQrprdQ+IGeFtRUekOPCijy9POW8apWESZjEnGrFKTdYteIlOKJaARvYAPCqlReFcRxwqlWEShnwqhUHFatWdmiHdiSqVk4UxJGlr1oloR0FlkS1CsEuAC6rWoWxb1ucapWEkUuJQES1ApEbxaxq5YOI5GymVCvLDgLq5OhUK27oTrXawRhAW1CtPLALE1dQrRw7CKjxOtXKi1ywg4JqtQV2ChypapXs4jCVq1aRt4ugXLUKkyCNoVS1CoAXUUcMrVp5vmuFomoVhVuf0lw61SrZRl4gqla7OPZ3QFSt0h3kmz2ksPpJGAuqVZpAF2wF1Srdgh217zrVCiJBPxVUqyh0gBsLqpWf2gF19HaqVbxLYpgKqtXOjWLoCKqVH+38OBVUKycNtpy2i1cZuYza0qlWHEX3qhVH1b1qBWMYJLGoWnHU3atWHIW3qhVHm61qtXNiP4G8agVhaqcer1qlHvBDQbWKHDukDDOUauX41qb777R2ZTucdgUTmFB7gGhX8S7eUV+g1a629tbeyrQrJ7JjD0i0Kx9JeFCiXYHQc\/1Uol3BOKTpitKuIuiGgNeuUgfCOOK1qzhIYkpI67SrOIqCHa9duV4IvZTXrqzEpy1NrXYFQerQfJ1oVyBInBDw2pUfgjgAvHbluKEVRLx2ZTsepM7qVrtKo9RNfF67Sp04oUTvTrtKd6G347WrKAgsB\/Da1TZ0XTsQtKs0gLvEFrQrGMT+bitqV8ku9BNBuwJWELg7QbsKPDe2U167gilMUp\/XrmIvSqh92GpXOzsMY4vXrvzUt3Yxr125nmP7qahdpWkaxLGoXaVJkoahqF2lYeRSSO21K+huobMTtavI8gL64O60q9RLfcom1GtXSPKgTr1eu0JyQuyL2lUY7TxaB+q0q8AKdtutoF15lu17vHblRr4TRoJ2Ze9s6qRotSsfxrvAkWhXW0fUrpzYhRSITrty020a+YJ2FaaxTRlNe+3KigNqJZ12FXu+60aidhXEHnXYdNoVTEPaBtJpV8nOpzdDp10BizEkddqVHzNGp0G7sqMgcoGoXYEgBIEn0644FaTXrnZxbDOidK9duWmY7lJBu4LBLrUsUbtKfB8y7Z12FcfbHXXSt9oV3EGYuhLtKg5jJ\/Ik2tUujeJYpl2lTuJswRztivsKg3YFXMexR7WrAHrA9Ua1K2GhtHZlWVsncka0KwGnlHZlWTu4daXaVRgHiWtLtSvha7Da1TYK0mhMu9rh\/wjaFfSSOE4k2lWapBbFQQbtKg3i3S6SaFcw3NEH76Bdxb4P3EiiXSFd0XEfV1nnlwb2SwP7pYH90sB+aWC\/NLBfGtgvDeyXBvZLA\/ulgf3SwH5pYBMa2IjP5Ov5ZqL3UXqxPc5Ngn+e9nEOzpfPPopg32yDl9NmF1iXt\/VhWSL\/1\/M+veZ5HVcQFrd2CNuyXk5DBP57G4E\/Fm7XlqH++be+zLGBwH+mht9ZaI43jaUiR2O03E0M8vjzZxS5b5iGjT2918ZfDcf4zQi8y9t6PY45lCPsCGWlDTovUzJ9tNi16GAqXWen2a6ZKGNbDEkTymJPeOvLujTlNT6ZIKb8S7t4y2MFogNT9eCQoS1HXiX\/hBOY4QLsxChAC\/8h924u0m4CcJtf\/UwiMIdaR1qxogKQpAJHAQZaf5QVx3EghBxl7sZ4ccj3WlakAv9g3e7HxyjKOq6ySyMbhQQu9BSGqHpNghpQQhF53IrHe3eLJdpHJ9Pjq4Igee9DPfmZ6lScQ\/wJVRzZjD6uQKZ4ShI81eMvXLJi\/GGTXcYfnrKiuY3tTKy1rQ\/mK4yes8ZEryVVeTHTLEcWnii\/Vp9tzCX5Rwb9bCRqRFHGngsLIEFRw26ysAc9qp\/DTJc8Xsu\/+KXKzsrv3RK4m3woifdUdS4T+PXJSQaS6sbfLOiLc6nVmsTIwXGFOejO4JiXEeQ73zD\/y3Icn0xY\/zjO23mrME5lcRGOlBlxQP1gs2pFdr3GGZJ1oEM9Vdn62TAmoZKRrJBRb2WVBmKQGJVhU1goQRbTExlt1xvh0GGe2LInE+iYi0NSDUsVn+YTNJJ4L4zYNgEYOd2RLNbtPddCbJ0ZmWTmS7IKtmc7ibGawTSmNwtew9en8gKLgeTJwpgsgRNYYH605bHurwQhEpPtwTMhEBxCk5bVeW9cLxdYxaCGi0\/F8XpjsgAxzepiVGk0p4sE7YuOzZfzpiYvrUnG1BBl8BtY1mF6qd1aFOcLTg\/GB9fhAMFLjtDCAqTEfIfOH+BYbM5CScSwJw2jK966Q9CMjuIp2T0TC0HIELI4GK7\/CnFe1nAWAzFRIouboD+hBpLFzIzgCbxkaFmtzjQgyutoCqFvTtIzfCFWXi9sah9LkbOp62H8xgKYqeFMQOfIuNszHld4c6SMh3T\/K+OnMe9\/h5VebCuuccgEuA6lkdn9Q8oq03IVn82BzhOmJvTp1GFC1jVtJQovvs0gtihDTg+DURPHRfMs5rONKTQE0CBrn+bbuMiH7svlZd77VflqRs1j8qQpmOkJxs99HkK6DCxdqbLbaoqMj\/payChXjY5mfa1SEEO2BshIDimUHWozJElk2idIh8vByqqkBCU04BHOP3k0jFkuGPGSWvXErDFz4dlGG+iuZ0xr4RTgDG+TFb9d3RzXI1htM9tKhp4QmthxvclxzbqKbyKvFtMdLGLWTVkizWoQFBBHRiKwG6g2Fu42V74vLzdNCcm2VIN3vEZmY2zL2w\/7HJ0MfHpn0cI3PZikcPbTQaHvVV2KRcxd6IwG8ozBI0xDznSU00X53Cc10aUT0tYA2onI8lBK5tZiy0RcGc\/P9AdVbjLjs7yAN8dzlcx9zrJeAFOy2fXmJg+zxHwS7HZ9ZFqJjuUPhkqQZOWQNU83p3NrflSq5x6lnlfU55Lkxxe18FFm4NCajNvmoOnIAV9UtPcUIbqZEG9OBDFeveFreOETwHQKljOSKsMdyRO8ZAMjeU4\/X66gOsuS7HeE6nBJ911nNNGuvgCtPOZY+bqj\/0A4vvTlayzu6ojXS+27aABy1MO3CyiSQYLaaPThhK6bchKHpQoCRkKS1Sg5YiIfo3s6lKdE0dHXvBE+pHoYA1UaHxWgaTm2NyC1eU7VgmoNjzcttiCyAEeRY0pxBUhlm1JOC6kl92\/APkcWfc4GmvvN1d5vd1YGp201EktzgCzN2teHBHUMwfg0weggXpZ7+2Hbph1Db6cyhq4pXWh6XR+\/W7uRNBXw+JRdPlj7TkpGRhflBVeUljsDrrYx1eZPNY8xFXc5Aw9\/xO3lA4x26LPUEs64N2zDprK\/cWe7pVGyAXMRlRlUPavbUC5lZu63Lc0DQ9YurcwYqMHNHyyaIEqR3aFpc0G8rVr5RG5jGbMjLb2PPmUXubwyNgEeGx\/DbNG8zAqcR4VpWpgIpFV8JoDT+ZQnEilrF1LoYA82JLWBqNeq6tevTxV45fKQow8MKuQamWSwaD7brp\/A44bmP8g3cr0RPZ2WeERMTbCBFYofmZpkaAmTzBp2jjhQ6FFzZP1XlCdGwOiV3WExKIG\/IcPGergDtmTqIuV\/hrzbPEuqNiovjGZeDbVLm2swA01TZVHLeK2O\/zNsn8rH6nqCg9M8kVCwkKpETo5LVmeQU54XrUihMCBmaINJThTVdRFafnddZCMK2KAWkhSV5KclGFKZEkaqt1HTYjRx+n415IvWhdwtWjAFunUTuSsPqXBJJ9Y41KnkrV9HqLsKUrl0OiGdiNa41+j6AIur7f5RJlc8WT2r6+JJadsnyWRQgSvZZMgkQsq0Ss3HVw7eqyhTYz8XZTQ6dqiy6rbXcQRjZnCnndcZsfJOi1TkmvTGbHVWdTd2s6RW3btCbeF1LmMXVftQ7fejf92NUCXXqDUuECcvIVVa+dSsKJ2bVap\/qv1c1RZuQp2IEnuvYgqF+J9o+M+mb33amDg7siSV\/K5L3i3eU87zVkQznitWTGWB97stioSLlvnqJH6XzXwqTbvHed91NXFned+hFS1AgnniT2LBd2nwEFdDqgdIrbPVY2+E1KNX5avS6xu9wNkUdHzuKB8JhnhxmaLJGQ2aB2Z+bH0RCtFqQM\/qhT0vqDu82KkRzedFPZ+X22Ov7i5ZMcGPuoogVndz6tNOsDZjOceV5nrnSe3aHWQes7158fEpOIBOEJ7E6WvaZxINxfq5eW3u\/OW7GsGMT6Bq2Hz8CvvrBVTPoxYJKhCg1y41VSUM2ETE3ZZqx3yVLUdPJeoQatJ\/Cadgp\/FCyIGk3r03Wu++Hw+pizdhGFq75AaSDOPoDPM6MgolTnEjTX4GELW4uvsiZqfecjk8Dn45yL2WnIu2M9Fp8CdFEB5mmM7hkVjFRjyipVdKnEFBDf0MG8A4qhIx+8Ncn9CYyEDJIIyYLBnHQGsC4WZ9jRacrqzGbI245C4+rNqJfasvoNjnoC+e90fJJWj8CFQ8Q1SUdfGm8ByBivJiOV+QxRVZMzfTRmhpP6UVdCcYQUlan7XYZkvaHEmbK2nz1uu5i+7y7yxZ+NB35uKHBENrebs90u6MtLsj7UsQUmbLkIH7zUUETnG0FttsSZsjaXMlbQsWjXITLVk06Tdz0STJ0lpssyVtjqTNlbQtJP2lZL+I5GXkLiN1GZnLSHzRolFupkWrJh3nLpukmlpLGm1ZoyNrdGWNC9b+Y8m6f8xe8w\/TWqNgHesT12yvUaPhCQ+cNWo0AuGBu0aNRig88Naocf7Xrxdtc9xt7pevhU2OM32JTY7Y5IpNC743yYy1ZMFdz5lr7tJ9rWWttrTVkba60tYFKHhBtUfnrx93m7l4nG5sLTTZYpMjNrli04LVHi+XJavF3WauFqc7WwtNttjkiE2u2LRgtQBWS1aLu81cLU63thaabLHJEZtcsWnBalGetCXLJf1mrpckfFuLbbakzZG0uZK2JQQNFrEv3G0uQQOBceFsc2KTIza5YtMi0TsH1TLZG3ecLXzjpHdrSaMta3Rkja6sccHacaa6JWtvO85ce5t4by1ptGWNjqzRlTUuWftpkcaFu81d90nQt3DWP7HJEZtcsWnBapEnypLlkn4z10tSD67FNlvS5kjaXEnbgkWjnIFLFk36zVw0SX64FttsSZsjaXMlbfJFMx5xJP\/h2GU1lSJxEhJOmKgEhN+YhkMSLKohkXcmYeGUjEpI+I1JOG0KRyWk9p1JWCjpoxIQemESCs4RqQSD35iEQ3JKKgGRVyYhZTFUgsnkEdAMDJKyUgmGvDJN13g\/KSC1G+6gFf8ngranQNuLQTtToJ3FoN0p0O5i0N4UaE8T9IQpCPnYLLMFkZ6zjUEkW+pa1mpLWx1pqytt1eDQ3QwU+O0nqQnLnoZl68JypmE5urDcaViuLixvGpY3CQvlaVVyI\/TCox3Vi7evT9HrA754B+juz90Buvtbd4Du\/tAdoLu\/MgIEjtVjkI0APQTZCNBDkI0APQTZCNBDkE1uUhSQ2qsWLTj2FBxbD44zBcfRg+NOwXH14HhTcKZZF5VnWy3dD+8tOvuphN3T47QvLh4Ip\/6eHga\/tngQmWVGMgh+bfEgKBX59BjorcVDRJkGqqJsOaKOUGOAI7zjS5Ds6hrfgry4eCCcp316GPzaI8RYkoZ9iRjb9Zwpxna55deyVlva6khbXWnrpHUFxWPUsviZEe8YITuZ+0CPYj6WYKFrareu0VgPS+oY\/z8+E6f4WfFH3Vg9NaC83kjWBRUy3lDjTGTplcOBmBmNzBb5bk583hjFkENZ2LaJ1rU3cAwx9vryuoSlEr9q5DBXN2bdvOdwxHv+LncwPM3bI5KUYuey143aJf5VFTHOusdOJXiSBwOzjAyVh1PzMPTGpOCAy88p4eA3pm1mqLwdB4fU9ztnb5+zwqirY7ThbGioz9rw\/U8bTIEXUMFi2vRIKuDNHIt0WhuuxQ7GaHPI3xYmhrTn1Kx+KMXcHxrq+g+lgPtDQ0n\/oRRtf2io5j+UQu0PDYX8h1Kc\/aEhy5IygxwQvKuUOc36AoVTXr1lA1knd0meciFsZ5FTKAoRg009kRREmuO7i3PwhHxifWCHZgqMeQFWZMo3vhOGT\/G30fwW9odECj4+g8l9OTOEoGSNJBpc5FeXmnhW4Bf5OnpZgxTZMPTo9gMSB2nEQE4uXjPhzxkWV3zQa3fIikz33fo1u+As5R+cU2giz37LXgjbcB2lDIPwMZFrQshmSBcYcFwmJtj7g3IMPbZCCo4Ic2ZvO4S7ufFgPf09qCKATX0LHF+lSG3Iphm6I79hz00U7BBrXssziA\/79L4s4j0cwrZwEtCp6Owhe6J2lKbxHC0KKhlCmy5vJPXA3eTt3hXcWZZIUtCO\/mZqjqgUXSpwmk5W2qadkaiBQZ+y7DEbXs2UtDTMnuzFXCOTGJ3JJ3oOj7p\/fcqK+gLjZuDxuErZRrP3GYL6WkGud58PIK7KukY4HF\/EM3xXi6vbIQ8AlRpgIiNAF1+fFZ9dFEy\/oSkD8a71mtogvc3gz36+hOL5gojZm1tNB2N97vmC+vBFW9pUNLMr50gK5TgfUygHzxqZfWSZ7z3GTjQjXLuH+i3JXpZE\/jta0I0kocJB78MBKfQyZksMKBlMaZgi+ez1DHGMhVUJFonCbD4Yj5Uvwj9VFkNbTL+kXts9CtTsfElowD+dKoVySRj1GeT57UEBsFgl0rF0+IOlw6dLBE5nslCJHfOsHHiyczku7vTtL1LbyEQvE0zpktGNzvk+Ei+sJdzMYfzqHSAzajwyA+KgRfcZlD3KMo4rDcxAAt42HR+Ar2YF0UpnJWLDM2K4oBrj42oC+n8xuKBBb3ziAM646CuSc1YwyZp6JAmBzFC5MDlAO9C3+npG317nROnzqvB2Lv5WR3vU\/b4T6RLYgCyvzTOonuniWlrgzDPJoqc+TkiWNxiXVVvO+FokEBMu\/0g7pS3u14PRLNlE5sz+nGuenqQgInLxUFU3cXLxTGucb3l2myRTLUgGwey8EkPKHEsRzOncUMPibCrHlznkDexaOvUXZdteUnucKGrHCiBC\/\/oEmhwFQDGzwhyjA9ydBm12QHwNMJIltIIXCJrPtrNhKsthE\/f1XJhks6LFoCJk05edBEViYqKJHt8GlbO5KqoyMy+fYH7RebXjpBgFZF0oQ\/hfkTBfGFvNqXXclIGyM\/5qmDZBboW0uB6spy763lxrZbnMhQmuEUpuCi1oEX9njiNaDdDgTdRkKNuObVvxaTpZjb\/wPGrr5d3k5SPutl2O5ZOVmS7\/wJNCmQS8KyFIdJeRkeMripdo\/o5+iXxq+HzbQM6n2sFuJF\/0Ps7B+fLZwzabrfdy2gS430TNpD71aTUkvxkrYmQ70wCH62EQN8iHCyd0mVVlGU8JX2IqSjC0uCFZp6n5bp1Pkqoq+L8WXYt7O1EbQipGBa20z9hDQ\/JfrXzSqFACvhDQyCJNjgbSpFZbSApkgd8ynNKhEjrR6e0dJVdhkh1vdNIMa+SlonLxEiVz+mXszEVA+1MJ8msO15o5zPtPQ+08wc9pKt8WThJPqJbbUxS9qlMqCr2xDs5nKJ4giAwdS0NSVGTlFPn\/tC9EP6p0UhP3lzxnweugt20PdPrmo9v3uB8G7AUto5LcX2zVbAphmcBAUvLPv51hkgHj86WCKaxqs4LJNYaJeS47h0j0e5z\/tmVL6XpTmMuJE7jRXiBxnkm8Cgn3TMozyIrvN3QuJUhX3jMuU+VzDgafqcSM1obvUDldmCN1DBEJOBpfrshjqh0U\/eu71qV627WJSEeirn+\/\/3bdRvJ69zXIgY6cxUBVj6Ifc3N0VGcXY8xu05zgGZpNeTzm0IiuTdPmzu9tFwHttzORq3VMzjzn5hlIcxfj+rN7+uyxRjOFx6B4AaOminNulkVPdfjVG0Z3lmfN+94gNjLlBI0vZ3DJs6iCx7wFMfbdWi8ueSFdh742IZ9zxrhleYEV9jI2j7BurhU067iCsBi9+kU7JweTFWEURrUaFNyV4riOfM7NFMKkZmZ9KS\/XS3c1cWMT1zpdoulH3Y76ilLNMIcvAKf0nDKK09ddSFRxRm675uHNkSkP3nxUolNKRzBUfQ10M2O2e7o\/7WjxxpsoZ8oXf9RO\/Kg5q48rCDlMgPy4oHLAwh2jzANuBkAm8SmTCvRu07VSrTznWG2H42UrmCo7+AflC0EJBoH1SebJ4DGG+w\/xf3wI2xq5BOZdXmdcqXSonXWl0nWSFj5ROtDztbRai0Y1mmt1tJJGDK6IEtaHF1g1WQzyzhJwzpJElaUaKXTG\/82sQ8NLI8th\/fWp7Hz4eorsvWuUvAFX06mV8sCQZ5t8CXmRgp6qbeVgk\/VdLGlYB+YPky4hkrulWSeGhGQd0bgjKQVioyqf014\/wyln4Y0sEak25Ik18swcf0ieyJ+ZiofKz0XI7Jybz1mRfH2Ky2vRVO9dCYI7yqXKEfkhLiLylWTN+9P3+WyCPrQZ3xJsurFJFWtNRsFSyCxuwa0pBpevTza1nhGmpjpFNAliJjeuQHGEMwKmDmz2ciSvus4fdpbj2RpZcbk2N65kKHUhg2u3gBjNXLDOkuapIeZicVCnugK8g5Pe1yc30diQd9oPRtUyHYPCUFToHVY90dYNyGHnuMK8YtZVTCdc55HcnbAKSqVrY4t1JGijU2BJqQ7fbk1VyhqfACzneVD1nnZiSTxn4cUPngWD1xtjjebL8DHFaR4mc2pPbqQC1vwCV\/q4aTc6c5ezrJSrUDrtbl8WxNVx7ZSR2q+hxRoWxfooXDmliXGMS5m\/T1ZIadmbUMXEn4Le\/ohAkfDFP1pOWpdpD3iKHxKY6NM8rJKICkHH\/CYXCjoUh5hteOLG\/fn\/AQ==\"><style>#nxe-n1negxdt.nxe{display:block;box-sizing:border-box;max-width:1180px;margin:0 auto;padding:0 16px;font-family:ui-sans-serif,system-ui,-apple-system,\"Segoe UI\",sans-serif;line-height:1.55;overflow-wrap:break-word}#nxe-n1negxdt.nxe :where(*,*::before,*::after){box-sizing:inherit}#nxe-n1negxdt.nxe :where(section,header,footer,nav,aside){display:block;margin:0 0 32px}#nxe-n1negxdt.nxe :where(h1,h2,h3,h4){line-height:1.2;margin:24px 0 12px;font-weight:600}#nxe-n1negxdt.nxe :where(p,ul,ol,dl,table,figure,details){margin:0 0 16px}#nxe-n1negxdt.nxe :where(ul,ol){padding-left:20px}#nxe-n1negxdt.nxe a{color:inherit;text-decoration:underline;text-underline-offset:2px}#nxe-n1negxdt.nxe table{border-collapse:collapse;width:100%;display:block;overflow-x:auto}#nxe-n1negxdt.nxe :where(th,td){padding:6px 8px;text-align:left;vertical-align:top;border-bottom:1px solid;border-color:inherit}#nxe-n1negxdt.nxe svg{display:none}#nxe-n1negxdt.nxe svg.nx-i{display:inline-block;width:18px;height:18px;vertical-align:-3px}#nxe-n1negxdt.nxe :where([role=\"tablist\"],[role=\"toolbar\"],[hidden],button,.nx-theme-toggle,.nx-live-slot){display:none}#nxe-n1negxdt.nxe img{max-width:100%;height:auto}<\/style><svg class=\"nx-defs\" aria-hidden=\"true\" focusable=\"false\" width=\"0\" height=\"0\"><defs><linearGradient id=\"nx-gi\" x1=\"0\" y1=\"0\" x2=\"1\" y2=\"1\"><stop offset=\"0\" class=\"nx-gi-a\"\/><stop offset=\"0.55\" class=\"nx-gi-b\"\/><stop offset=\"1\" class=\"nx-gi-c\"\/><\/linearGradient><linearGradient id=\"nx-giu\" gradientUnits=\"userSpaceOnUse\" x1=\"0\" y1=\"0\" x2=\"800\" y2=\"0\"><stop offset=\"0\" class=\"nx-gi-a\"\/><stop offset=\"0.55\" class=\"nx-gi-b\"\/><stop offset=\"1\" class=\"nx-gi-c\"\/><\/linearGradient><linearGradient id=\"nx-gp\" x1=\"0\" y1=\"0\" x2=\"1\" y2=\"1\"><stop offset=\"0\" class=\"nx-gp-a\"\/><stop offset=\"1\" class=\"nx-gp-b\"\/><\/linearGradient><\/defs><\/svg><section class=\"nx-hero\" data-layout=\"split\" aria-labelledby=\"nx-title-1\"><div class=\"nx-container\"><div class=\"nx-theme-toggle\" role=\"group\" aria-label=\"Appearance of this page\" hidden><button type=\"button\" data-mode=\"light\" aria-pressed=\"false\">Light<\/button><button type=\"button\" data-mode=\"dark\" aria-pressed=\"false\">Dark<\/button><button type=\"button\" data-mode=\"auto\" aria-pressed=\"true\">Auto<\/button><\/div><div class=\"nx-folio\" aria-label=\"Document reference\"><strong>G-P08 \u00b7 PROCESS \u00b7 models<\/strong>GCRI dossier \u00b7 service level R0<\/div><div class=\"nx-hero-grid\"><div class=\"nx-hero-text\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">GCRI<\/span><span class=\"nx-eyebrow\" aria-hidden=\"true\">\u00b7<\/span><span class=\"nx-eyebrow\">Artificial Intelligence and Autonomous Systems<\/span><span class=\"nx-eyebrow\" aria-hidden=\"true\">\u00b7<\/span><span class=\"nx-eyebrow\">In development<\/span><\/div><div class=\"nx-accent-row\"><span class=\"nx-accent-rule\" aria-hidden=\"true\"><\/span><span>Reviewed models and scenarios<\/span><\/div><h1 id=\"nx-title-1\" class=\"nx-hero-title\">Reviewed models and scenarios<\/h1><p class=\"nx-tagline\">Model descriptions for Artificial Intelligence and Autonomous Systems are published here once reviewed, with their assumptions, evidence and validation. They describe models; they are not live simulations.<\/p><div class=\"nx-actions\"><a class=\"nx-btn\" data-variant=\"primary\" href=\"https:\/\/therisk.global\/ai-autonomous-systems\/contact\/\">Make an enquiry <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a class=\"nx-btn\" data-variant=\"secondary\" href=\"https:\/\/therisk.global\/ai-autonomous-systems\/tools\/\">Back to Data and technical methods<\/a><\/div><dl class=\"nx-facts\"><div><dt class=\"nx-eyebrow\">Publisher<\/dt><dd>The Global Centre for Risk and Innovation<\/dd><\/div><div><dt class=\"nx-eyebrow\">Field<\/dt><dd>Artificial intelligence, Data and compute<\/dd><\/div><div><dt class=\"nx-eyebrow\">Status<\/dt><dd>In development<\/dd><\/div><div><dt class=\"nx-eyebrow\">Service level<\/dt><dd>R0: information and enquiries<\/dd><\/div><\/dl><\/div><div data-lv-fill=\"console\" data-lv-id=\"model-ops\"><div class=\"nx-window\"><div class=\"nx-window-bar\" aria-hidden=\"true\"><span class=\"nx-window-dots\"><span><\/span><span><\/span><span><\/span><\/span><span><strong>GCRI<\/strong> \u00b7 Artificial Intelligence and Autonomous Systems \u00b7 Pipeline<\/span><span class=\"nx-window-note\">Illustrative<\/span><\/div><div class=\"nx-figure-frame\" data-scene=\"true\"><figure class=\"nx-fk nx-cx\" data-fk=\"cx-ai-pipeline\" data-cx=\"ai.pipeline\" data-variant=\"hero\" aria-label=\"Pipeline: illustrative console with placeholder names and values\"><div class=\"nx-fk-head\"><div class=\"nx-fk-heading\"><h2 class=\"nx-fk-title\">Pipeline<\/h2><p class=\"nx-fk-sub\">Reviewed models and scenarios \u00b7 Workspace WS-43<\/p><\/div><\/div><div class=\"nx-cx-status\"><span class=\"nx-fk-pill\" data-state=\"near\"><i aria-hidden=\"true\"><\/i>One stage waiting<\/span><span class=\"nx-cx-prod\">GCRI \u00b7 Artificial Intelligence and Autonomous Systems<\/span><\/div><div class=\"nx-cx-grid\"><div class=\"nx-fk-panel nx-cx-p\" data-w=\"6\" data-t=\"steps\"><div class=\"nx-fk-panel-head\"><div><h4 class=\"nx-fk-panel-title\">Stages<\/h4><\/div><\/div><ol class=\"nx-cx-steps\" data-n=\"6\"><li data-st=\"done\"><span class=\"nx-cx-sn\">Ingest<\/span><span class=\"nx-cx-snote\"><span class=\"nx-cx-n\">5<\/span> sources<\/span><\/li><li data-st=\"done\"><span class=\"nx-cx-sn\">Validate<\/span><span class=\"nx-cx-snote\">schema \u00b7 licence<\/span><\/li><li data-st=\"now\"><span class=\"nx-cx-sn\">Transform<\/span><span class=\"nx-cx-snote\">versioned<\/span><\/li><li data-st=\"todo\"><span class=\"nx-cx-sn\">Model<\/span><span class=\"nx-cx-snote\">Artificial\u2026<\/span><\/li><li data-st=\"todo\"><span class=\"nx-cx-sn\">Test<\/span><span class=\"nx-cx-snote\">held-out<\/span><\/li><li data-st=\"todo\"><span class=\"nx-cx-sn\">Release<\/span><span class=\"nx-cx-snote\">with limits<\/span><\/li><\/ol><\/div><div class=\"nx-fk-panel nx-cx-p\" data-w=\"4\" data-t=\"table\"><div class=\"nx-fk-panel-head\"><div><h4 class=\"nx-fk-panel-title\">Artefacts<\/h4><\/div><\/div><div class=\"nx-fk-tablewrap\" data-fk-view=\"table:cx-ai-pipeline-t1\"><table class=\"nx-fk-table\" data-fk-table=\"cx-ai-pipeline-t1\" aria-label=\"Artefacts\"><thead><tr><th scope=\"col\" data-col=\"c0\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c0\">Artefact<\/button><\/th><th scope=\"col\" data-col=\"c1\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c1\">Version<\/button><\/th><th scope=\"col\" data-col=\"c2\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c2\">Licence<\/button><\/th><th scope=\"col\" data-col=\"c3\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c3\">Label<\/button><\/th><\/tr><\/thead><tbody><tr data-fk-key=\"cx-ai-pipeline:r1-0\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>Model registry<\/td><td>v3.0<\/td><td>To check<\/td><td><span class=\"nx-fk-pill\" data-state=\"info\"><i aria-hidden=\"true\"><\/i>OFFICIAL<\/span><\/td><\/tr><tr data-fk-key=\"cx-ai-pipeline:r1-1\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>Evaluation results<\/td><td>v5.2<\/td><td>Open<\/td><td><span class=\"nx-fk-pill\" data-state=\"info\"><i aria-hidden=\"true\"><\/i>ASSESSED<\/span><\/td><\/tr><tr data-fk-key=\"cx-ai-pipeline:r1-2\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>Incident log<\/td><td>v1.3<\/td><td>Open<\/td><td><span class=\"nx-fk-pill\" data-state=\"info\"><i aria-hidden=\"true\"><\/i>REPORTED<\/span><\/td><\/tr><tr data-fk-key=\"cx-ai-pipeline:r1-3\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>Usage telemetry<\/td><td>v5.3<\/td><td>To check<\/td><td><span class=\"nx-fk-pill\" data-state=\"info\"><i aria-hidden=\"true\"><\/i>OBSERVED<\/span><\/td><\/tr><\/tbody><\/table><\/div><\/div><div class=\"nx-fk-panel nx-cx-p\" data-w=\"2\" data-t=\"bullets\"><div class=\"nx-fk-panel-head\"><div><h4 class=\"nx-fk-panel-title\">Compute quota<\/h4><p class=\"nx-fk-panel-sub\">share used vs alert level<\/p><\/div><\/div><div class=\"nx-fk-chart\"><svg class=\"nx-fk-svg\" viewBox=\"0 0 460 98\" width=\"460\" height=\"98\" role=\"img\" focusable=\"false\" preserveAspectRatio=\"xMidYMid meet\" aria-label=\"Compute quota\" data-fk-chart=\"bars\"><g data-m=\"row\" data-k=\"r-b0\"><text data-m=\"rlabel\" x=\"124\" y=\"19\" text-anchor=\"end\">CPU hours<\/text><rect data-m=\"bar\" data-k=\"b-b0\" data-c=\"pos\" x=\"132\" y=\"4\" width=\"81.1\" height=\"22\"\/><text data-m=\"vlabel\" data-k=\"v-b0\" x=\"219.1\" y=\"19\">39 used \u00b7 limit 80<\/text><rect data-m=\"hit\" x=\"0\" y=\"0\" width=\"460\" height=\"30\"\/><\/g><g data-m=\"row\" data-k=\"r-b1\"><text data-m=\"rlabel\" x=\"124\" y=\"49\" text-anchor=\"end\">Storage<\/text><rect data-m=\"bar\" data-k=\"b-b1\" data-c=\"warn\" x=\"132\" y=\"34\" width=\"162.9\" height=\"22\"\/><text data-m=\"vlabel\" data-k=\"v-b1\" x=\"300.9\" y=\"49\">78 used \u00b7 limit 90<\/text><rect data-m=\"hit\" x=\"0\" y=\"30\" width=\"460\" height=\"30\"\/><\/g><g data-m=\"row\" data-k=\"r-b2\"><text data-m=\"rlabel\" x=\"124\" y=\"79\" text-anchor=\"end\">GPU hours<\/text><rect data-m=\"bar\" data-k=\"b-b2\" data-c=\"pos\" x=\"132\" y=\"64\" width=\"98.7\" height=\"22\"\/><text data-m=\"vlabel\" data-k=\"v-b2\" x=\"236.7\" y=\"79\">47 used \u00b7 limit 70<\/text><rect data-m=\"hit\" x=\"0\" y=\"60\" width=\"460\" height=\"30\"\/><\/g><\/svg><\/div><\/div><\/div><div class=\"nx-fk-tip\" aria-hidden=\"true\" hidden><\/div><\/figure><\/div><\/div><p class=\"nx-caption\"><strong>Artificial Intelligence and Autonomous Systems \u00b7 Pipeline<\/strong><span>Pipeline, in outline: domain structure with placeholder names and illustrative values, not a record.<\/span><\/p><\/div><\/div><\/div><\/section> <nav class=\"nx-index-strip\" data-nx-spy=\"true\" aria-label=\"On this page\"><div class=\"nx-container\"><a href=\"#nx-sec-brief-answer\"><span>01<\/span>The short answer<\/a><a href=\"#nx-s-3-sec\"><span>02<\/span>Scoping to review<\/a><a href=\"#nx-sec-field\"><span>03<\/span>Connected activity in East Asia<\/a><a href=\"#nx-sec-what-is-shown\"><span>04<\/span>Released, referenced and\u2026<\/a><a href=\"#nx-sec-pg-model-classes\"><span>05<\/span>The kinds of model AI work relies on<\/a><a href=\"#nx-sec-status\"><span>06<\/span>Releases appear as they are reviewed<\/a><a href=\"#nx-sec-terms\"><span>07<\/span>Terms used on this page<\/a><a href=\"#nx-sec-pg-sources\"><span>08<\/span>Where this page's references lead<\/a><\/div><\/nav> <section id=\"nx-sec-brief-answer\" class=\"nx-section\" data-hue=\"project\" aria-labelledby=\"nx-s-2\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">01<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">In brief<\/span><\/div><h2 id=\"nx-s-2\" class=\"nx-section-title\">The short answer.<\/h2><p class=\"nx-lede\">Artificial Intelligence and Autonomous Systems reviewed models are published descriptions of the models used in the artificial intelligence field, with their assumptions, data, validation and limits, built on methods such as artificial intelligence and machine learning as well as AI evaluation and assurance engineering. They describe models; they are not live simulations, and no output on them is a finding.<\/p><\/div><\/div><\/section><div class=\"nx-live-slot\" data-nxf-slot=\"workflow\" data-nxf-kind=\"workflow\" data-nxf-resource=\"nexus:\/\/gcri\/G-P08\/tools\/models\/#workflow\" data-nxf-title=\"Programme state\" data-nxf-height=\"520\" hidden><\/div><section id=\"nx-s-3-sec\" class=\"nx-section\" data-hue=\"infrastructure\" data-tone=\"alt\" aria-labelledby=\"nx-s-3\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">02<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Canvas<\/span><\/div><h2 id=\"nx-s-3\" class=\"nx-section-title\">Scoping to review.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-canvas-wrap\"><div class=\"nx-plate\" data-wide=\"true\"><div class=\"nx-plate-label\"><span class=\"nx-eyebrow\"><strong>Canvas<\/strong> \u00b7 scoping to review<\/span><span class=\"nx-eyebrow\">Design, not a record<\/span><\/div><div class=\"nx-figure-frame\" data-scene=\"true\"><svg class=\"nx-figure nx-ui nx-dag\" viewBox=\"0 0 1200 564\" data-nx-dag=\"true\" data-w=\"1200\" data-h=\"564\" role=\"img\" aria-labelledby=\"nx-dag-g-p08-tools-models-ipcc-risk-t nx-dag-g-p08-tools-models-ipcc-risk-d\" data-nx-z=\"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\"><title id=\"nx-dag-g-p08-tools-models-ipcc-risk-t\">Reviewed models and scenarios: risk as hazard, exposure and vulnerability<\/title><desc id=\"nx-dag-g-p08-tools-models-ipcc-risk-d\">Risk arises from the interaction of hazard, exposure and vulnerability (sensitivity and adaptive capacity); responses act on each driver and leave a residual risk that is monitored. Design of the process, not a record of a run.<\/desc><\/svg><\/div><\/div><p class=\"nx-caption\"><strong>Fig.<\/strong><span>A programme from scoping to the owner's decision. Design, not a record.<\/span><\/p><\/div><\/div><\/div><\/section><section id=\"nx-sec-field\" class=\"nx-section\" data-hue=\"project\" aria-labelledby=\"nx-s-4\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">03<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Geography<\/span><\/div><h2 id=\"nx-s-4\" class=\"nx-section-title\">Connected activity in East Asia.<\/h2><p class=\"nx-lede\">For reviewed models and scenarios, in GCRI's spatial-intelligence reading, the map opens on night lights, true-colour imagery and population density with true colour from NASA GIBS, framed on East Asia; 3 further NASA layers wait in the list.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-canvas-wrap\"><div class=\"nx-cmap-field\" data-nx-map=\"ctx-field\" data-cmap=\"east-asia:digital\" data-ml-src=\"digital\" data-ml-plan=\"p-30b2ba73\"><div class=\"nx-wm\" data-nx-water=\"ctx-digital\" data-wm-domain=\"ctx-digital\" data-wm-tiles=\"on\" data-wm-flat=\"on\" data-wm-focus=\"100,18,146,50\" data-ws-live=\"off\" data-claim=\"INTEGRATED\" data-wm-panel=\"closed\" data-wm-mode=\"2d\"><div class=\"nx-wm-stage\" tabindex=\"0\" role=\"application\" aria-roledescription=\"interactive map\" aria-label=\"Connected activity, East Asia: satellite and model layers from NASA on a 3D terrain of ASTER GDEM elevation. Arrow keys move; with Shift they turn and tilt in 3D; plus and minus zoom, 0 resets; I inspects, question mark lists the keys.\" aria-describedby=\"nx-wm-help\"><canvas class=\"nx-wm-canvas\" aria-hidden=\"true\"><\/canvas><p class=\"nx-wm-noscript\">The interactive map needs JavaScript; the layer list and sources are below.<\/p><div class=\"nx-wm-presets\" role=\"group\" aria-label=\"Quick views\"><button type=\"button\" class=\"nx-wm-preset\" data-wm-preset=\"ntl,people||||\" aria-pressed=\"false\">Lights and people<\/button><button type=\"button\" class=\"nx-wm-preset\" data-wm-preset=\"ntl||||\" aria-pressed=\"false\">Night lights<\/button><button type=\"button\" class=\"nx-wm-preset\" data-wm-preset=\"true||||\" aria-pressed=\"false\">True colour<\/button><button type=\"button\" class=\"nx-wm-preset\" data-wm-preset=\"people||||\" aria-pressed=\"false\">Population<\/button><\/div><div class=\"nx-wm-panel\" id=\"nx-wm-panel\" role=\"region\" aria-label=\"Map layers\"><div class=\"nx-wm-panel-head\"><p class=\"nx-wm-panel-title\">Layers <span class=\"nx-wm-count\">3<\/span><\/p><button type=\"button\" class=\"nx-wm-icon nx-wm-panel-close\" data-wm-act=\"panel\" aria-label=\"Close the layer list\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M3.5 3.5l9 9M12.5 3.5l-9 9\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><\/div><div class=\"nx-wm-panel-body\"><div class=\"nx-wm-group\"><p class=\"nx-wm-group-title\">Connected activity, for this page<\/p><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"ntl\" aria-pressed=\"true\" data-wm-z=\"20\" data-wm-lag=\"0\" data-wm-op=\"0.9\" data-wm-short=\"Night lights\" data-wm-prov=\"NASA LAADS DAAC\" data-wm-kind=\"Satellite radiance, corrected for moonlight and atmosphere\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Night-time lights, daily<\/span><span class=\"nx-wm-layer-src\">NASA LAADS DAAC VIIRS Black Marble (VNP46A2) \u00b7 <span data-wm-date=\"ntl\">12 Oct 2026<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"ntl\" hidden><\/div><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"true\" aria-pressed=\"true\" data-wm-z=\"21\" data-wm-lag=\"1\" data-wm-prov=\"NASA LANCE\" data-wm-kind=\"Satellite image\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">True colour<\/span><span class=\"nx-wm-layer-src\">NASA LANCE VIIRS NOAA-20 corrected reflectance \u00b7 <span data-wm-date=\"true\">13 Oct 2026<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"true\" hidden><\/div><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"people\" aria-pressed=\"true\" data-wm-z=\"22\" data-wm-lag=\"0\" data-wm-op=\"0.8\" data-wm-short=\"Population density\" data-wm-prov=\"NASA SEDAC (CIESIN, Columbia University)\" data-wm-kind=\"Census-based estimate, static (2020)\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Population density, 2020<\/span><span class=\"nx-wm-layer-src\">NASA SEDAC (CIESIN, Columbia University) Gridded Population of the World v4.11 \u00b7 <span data-wm-date=\"people\">static<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"people\" hidden><\/div><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"cover\" aria-pressed=\"false\" data-wm-z=\"23\" data-wm-lag=\"0\" data-wm-time=\"latest\" data-wm-op=\"0.7\" data-wm-short=\"Land cover\" data-wm-prov=\"NASA LP DAAC\" data-wm-kind=\"Satellite classification; latest year GIBS publishes\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Land cover type (IGBP), yearly<\/span><span class=\"nx-wm-layer-src\">NASA LP DAAC MODIS Terra and Aqua land cover (MCD12Q1) \u00b7 <span data-wm-date=\"cover\">2024<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"cover\" hidden><\/div><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"lstd\" aria-pressed=\"false\" data-wm-z=\"24\" data-wm-lag=\"0\" data-wm-op=\"0.8\" data-wm-short=\"Land temperature, day\" data-wm-prov=\"NASA LANCE\" data-wm-kind=\"Satellite 8-day composite; persistent cloud still leaves gaps\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Land surface temperature, day, 8-day composite<\/span><span class=\"nx-wm-layer-src\">NASA LANCE VIIRS NOAA-20 Level 3, 8-day \u00b7 <span data-wm-date=\"lstd\">14 Sep 2026<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"lstd\" hidden><\/div><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"imerg\" aria-pressed=\"false\" data-wm-z=\"25\" data-wm-lag=\"0\" data-wm-short=\"Precipitation\" data-wm-prov=\"NASA GES DISC\" data-wm-kind=\"Satellite estimate, near real time\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Precipitation rate, daily mean<\/span><span class=\"nx-wm-layer-src\">NASA GES DISC GPM IMERG \u00b7 <span data-wm-date=\"imerg\">12 Oct 2026<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"imerg\" hidden><\/div><\/div><\/div><\/div><div class=\"nx-wm-rail\" role=\"toolbar\" aria-orientation=\"vertical\" aria-label=\"Map controls\"><button type=\"button\" class=\"nx-wm-icon nx-wm-open\" data-wm-act=\"panel\" aria-controls=\"nx-wm-panel\" aria-expanded=\"false\" aria-label=\"Layers\" title=\"Layers\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M8 2.5l-6.5 3.5 6.5 3.5 6.5-3.5zm-6.5 6.5 6.5 3.5 6.5-3.5m-13 2.8 6.5 3.5 6.5-3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><button type=\"button\" class=\"nx-wm-icon\" data-wm-act=\"tools\" aria-controls=\"nx-wm-menu\" aria-expanded=\"false\" aria-label=\"Expert tools\" title=\"Expert tools\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M3 4.5l10 0m-10 3.5 10 0m-10 3.5 10 0m-7.5-8.5 0 3m5 .5 0 3m-3.5.5 0 3\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><span class=\"nx-wm-sep\" aria-hidden=\"true\"><\/span><button type=\"button\" class=\"nx-wm-icon\" data-wm-act=\"in\" aria-label=\"Zoom in\" title=\"Zoom in\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M8 3v10M3 8h10\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><button type=\"button\" class=\"nx-wm-icon\" data-wm-act=\"out\" aria-label=\"Zoom out\" title=\"Zoom out\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M3 8h10\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><button type=\"button\" class=\"nx-wm-icon\" data-wm-act=\"reset\" aria-label=\"Reset the view\" title=\"Reset the view\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M3.2 8a4.8 4.8 0 1 0 1.5-3.5M3.2 2.6v2.6h2.6\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><button type=\"button\" class=\"nx-wm-icon\" data-wm-act=\"full\" aria-label=\"Full screen\" title=\"Full screen\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M2.5 6l0-3.5 3.5 0m7.5 3.5 0-3.5-3.5 0m-7.5 7.5 0 3.5 3.5 0m7.5-3.5 0 3.5-3.5 0\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><\/div><div class=\"nx-wm-menu\" id=\"nx-wm-menu\" role=\"menu\" aria-label=\"Expert tools\" hidden><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitemcheckbox\" aria-checked=\"false\" data-wm-tool=\"inspect\">Inspect a point<kbd>I<\/kbd><\/button><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitemcheckbox\" aria-checked=\"false\" data-wm-tool=\"measure\">Measure distance<kbd>M<\/kbd><\/button><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitemcheckbox\" aria-checked=\"false\" data-wm-tool=\"compare\">Compare two dates<kbd>C<\/kbd><\/button><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitem\" data-wm-tool=\"share\">Copy a link to this view<\/button><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitem\" data-wm-tool=\"png\">Export as PNG with credits<\/button><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitem\" data-wm-tool=\"xt\" data-wm-xt=\"nD8AHC9C+3M3ObZpd9R\/Lxb2bo29sfEuijTslQu3cAY=\">More expert tools<\/button><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitem\" data-wm-tool=\"keys\">Keyboard shortcuts<kbd>?<\/kbd><\/button><\/div><div class=\"nx-wm-keys\" role=\"dialog\" aria-label=\"Keyboard shortcuts\" hidden><p class=\"nx-wm-keys-title\">Keyboard, with the map focused<\/p><dl class=\"nx-wm-keys-list\"><\/dl><button type=\"button\" class=\"nx-wm-icon nx-wm-keys-close\" data-wm-tool=\"keys\" aria-label=\"Close the shortcuts\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M3.5 3.5l9 9M12.5 3.5l-9 9\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><\/div><p class=\"nx-wm-hint\" hidden>Hold Ctrl or \u2318 and scroll to zoom<\/p><p class=\"nx-wm-toolbar\" role=\"status\" hidden><\/p><div class=\"nx-wm-tip\" role=\"tooltip\" hidden><\/div><div class=\"nx-wm-pin\" hidden><div class=\"nx-wm-pin-head\"><p class=\"nx-wm-pin-title\"><\/p><button type=\"button\" class=\"nx-wm-icon\" data-wm-act=\"unpin\" aria-label=\"Close the card\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M3.5 3.5l9 9M12.5 3.5l-9 9\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><\/div><div class=\"nx-wm-pin-chart\"><\/div><div class=\"nx-wm-pin-body\"><\/div><\/div><div class=\"nx-wm-dock\"><div class=\"nx-wm-time\" role=\"group\" aria-label=\"Imagery date\"><button type=\"button\" class=\"nx-wm-icon\" data-wm-step=\"prev\" aria-label=\"One day earlier\">\u2039<\/button><p class=\"nx-wm-time-label\">Latest available<\/p><button type=\"button\" class=\"nx-wm-icon\" data-wm-step=\"next\" aria-label=\"One day later\">\u203a<\/button><span class=\"nx-wm-track\" role=\"slider\" tabindex=\"0\" aria-label=\"Imagery date, up to 30 days back\"><\/span><button type=\"button\" class=\"nx-wm-latest\" data-wm-step=\"latest\" aria-pressed=\"true\">Latest<\/button><\/div><div class=\"nx-wm-chips\" role=\"group\" aria-label=\"Legends\"><\/div><p class=\"nx-wm-attrib\">NASA GIBS \/ EOSDIS \u00b7 ASTER GDEM (METI, NASA) \u00b7 Blue Marble (NASA) \u00b7 \u00a9 OpenStreetMap contributors (ODbL) \u00b7 Natural Earth<\/p><div class=\"nx-wm-legends\" aria-live=\"polite\" hidden><\/div><\/div><\/div><div class=\"nx-container nx-wm-below\"><p class=\"nx-wm-status\" role=\"status\">Loading the latest NASA imagery.<\/p><p id=\"nx-wm-help\" class=\"nx-wm-help\">Drag to move. Ctrl or \u2318 and scroll, pinch or the buttons to zoom; hover for the values under the pointer; reset returns to the region.<\/p><p class=\"nx-caption\"><span>For reviewed models and scenarios, in GCRI's spatial-intelligence reading, the map opens on night lights, true-colour imagery and population density with true colour from NASA GIBS, framed on East Asia; 3 further NASA layers wait in the list.<\/span><span data-honesty=\"true\">Satellite and model products as NASA publishes them, each with its own date; indicators, not assessments of any place; claim ceiling INTEGRATED.<\/span><\/p><details class=\"nx-wm-credits\"><summary><span class=\"nx-wm-credits-line\">Data: NASA GIBS \u00b7 ASTER GDEM \u00b7 Blue Marble \u00b7 \u00a9 OpenStreetMap contributors \u00b7 Natural Earth \u00b7 Copernicus Sentinel-2 L2A \u00b7 NASA HLS S30<\/span><span class=\"nx-wm-credits-more\">Sources and licences<\/span><\/summary><p class=\"nx-wm-credit\"><ul class=\"nx-wm-credit-list\"><li data-wm-credit=\"nasa.gibs.field-layers\">We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li data-wm-credit=\"nasa.gibs.water-layers\">We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li data-wm-credit=\"nasa.laads.black-marble\">VIIRS Black Marble night-time lights, NASA Goddard Space Flight Center; distributed by the NASA Level-1 and Atmosphere Archive and Distribution System (LAADS DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li data-wm-credit=\"nasa.lance.viirs-water\">VIIRS near-real-time products (flood, land surface temperature, snow cover, corrected reflectance), NASA LANCE; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li data-wm-credit=\"sedac.gpw-v4\">Center for International Earth Science Information Network (CIESIN), Columbia University. 2018. Gridded Population of the World, Version 4 (GPWv4): Population Density, Revision 11. NASA Socioeconomic Data and Applications Center (SEDAC). Licensed under CC BY 4.0. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\/\" rel=\"noopener\" target=\"_blank\">CC BY 4.0<\/a><\/li><li data-wm-credit=\"nasa.modis-viirs.land\">MODIS land products (vegetation indices, gross primary production, land cover), NASA LP DAAC and LANCE; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li data-wm-credit=\"nasa.gpm.imerg\">GPM IMERG precipitation, NASA Precipitation Processing System; distributed by the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li data-wm-credit=\"nasa-meti.aster-gdem-v3\">ASTER GDEM is a product of METI and NASA (ASTER Global Digital Elevation Model V003, NASA LP DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li data-wm-credit=\"naturalearth.all-scales\">Made with Natural Earth. Free vector and raster map data @ naturalearthdata.com. <a class=\"nx-link\" href=\"https:\/\/www.naturalearthdata.com\/about\/terms-of-use\/\" rel=\"noopener\" target=\"_blank\">Public domain<\/a><\/li><li data-wm-credit=\"nasa.gibs.reference-osm\">\u00a9 OpenStreetMap contributors (ODbL), via NASA GIBS (coastlines, boundaries, roads and place names). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.openstreetmap.org\/copyright\" rel=\"noopener\" target=\"_blank\">ODbL<\/a><\/li><li data-wm-credit=\"nasa.earth-observatory.blue-marble\">Blue Marble, NASA Earth Observatory; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li>Context on the globe and flat map: coastlines, boundaries, roads and place names from NASA GIBS reference layers (OpenStreetMap data, ODbL, \u00a9 OpenStreetMap contributors); Blue Marble imagery as an optional base; 3D terrain and the elevation read-out from the ASTER GDEM elevation colour index (5 m to 200 m classes, exaggerated for legibility). Boundaries are drawn as published and imply no position on any territory.<\/li><li>Globe: MapLibre GL JS 6.9.1, BSD-3-Clause, \u00a9 MapLibre contributors.<\/li><li>Observed (EO): Copernicus Sentinel-2 L2A (contains modified Copernicus Sentinel data 2026), Microsoft Planetary Computer<\/li><li>Observed (EO): NASA HLS S30 (contains modified Copernicus Sentinel data 2026). We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Science Data and Information System (ESDIS).<\/li><li>Optional layers (5 sources in the layer list: live, forecast, observed and context) print their provider credit on the map and here when switched on; forecasts are model output and derived indices are estimates.<\/li><\/ul><p class=\"nx-wm-credit\"><strong>Layers and dates<\/strong><\/p><ul class=\"nx-wm-credit-list\"><li>Night-time lights, daily: VIIRS Black Marble (VNP46A2), NASA LAADS DAAC \u00b7 <span data-wm-date=\"ntl\">12 Oct 2026<\/span><\/li><li>True colour: VIIRS NOAA-20 corrected reflectance, NASA LANCE \u00b7 <span data-wm-date=\"true\">13 Oct 2026<\/span><\/li><li>Population density, 2020: Population: CIESIN, Columbia University, Gridded Population of the World v4.11 (2018), NASA SEDAC, CC BY 4.0 \u00b7 <span data-wm-date=\"people\">static<\/span><\/li><li>Land cover type (IGBP), yearly: MODIS Terra and Aqua land cover (MCD12Q1), NASA LP DAAC \u00b7 <span data-wm-date=\"cover\">2024<\/span><\/li><li>Land surface temperature, day, 8-day composite: VIIRS NOAA-20 Level 3, 8-day, NASA LANCE \u00b7 <span data-wm-date=\"lstd\">14 Sep 2026<\/span><\/li><li>Precipitation rate, daily mean: GPM IMERG, NASA GES DISC \u00b7 <span data-wm-date=\"imerg\">12 Oct 2026<\/span><\/li><\/ul><\/p><\/details><\/div><\/div><div class=\"nx-live-slot nx-live-slot--map\" data-nxf-slot=\"map\" data-nxf-kind=\"map\" data-nxf-resource=\"nexus:\/\/gcri\/G-P08\/tools\/models\/#map\" data-nxf-title=\"Artificial Intelligence and Autonomous Systems live map\" data-nxf-height=\"560\" hidden><\/div><\/div><\/div><\/div><\/div><\/section><section id=\"nx-sec-what-is-shown\" class=\"nx-section\" data-hue=\"infrastructure\" data-tone=\"alt\" data-variant=\"split\" aria-labelledby=\"nx-s-5\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">04<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">What is shown<\/span><\/div><h2 id=\"nx-s-5\" class=\"nx-section-title\">Released, referenced and rights-cleared.<\/h2><\/div><div class=\"nx-section-body\"><ul class=\"nx-list\"><li>Time and space reference for every view.<\/li><li>Sources and licence.<\/li><li>Uncertainty and known limits.<\/li><li>Version and date of release.<\/li><\/ul><\/div><\/div><\/section><section id=\"nx-sec-pg-model-classes\" class=\"nx-section\" data-hue=\"project\" aria-labelledby=\"nx-s-6\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">05<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Model classes<\/span><\/div><h2 id=\"nx-s-6\" class=\"nx-section-title\">The kinds of model AI work relies on.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th>Model class<\/th><th>Open examples<\/th><th>Question it answers<\/th><th>Validation<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Model class\">Capability evaluations<\/td><td data-label=\"Open examples\">Open evaluation suites such as HELM<\/td><td data-label=\"Question it answers\">What a model can do<\/td><td data-label=\"Validation\">Held-out tests, reproducibility<\/td><\/tr><tr><td data-label=\"Model class\">Red-team evaluations<\/td><td data-label=\"Open examples\">Structured adversarial testing<\/td><td data-label=\"Question it answers\">How a model can be misused or fail<\/td><td data-label=\"Validation\">Coverage and independent repetition<\/td><\/tr><tr><td data-label=\"Model class\">Socio-technical impact models<\/td><td data-label=\"Open examples\">Labour and economic models<\/td><td data-label=\"Question it answers\">Effects on work and services<\/td><td data-label=\"Validation\">Observed adoption data<\/td><\/tr><tr><td data-label=\"Model class\">Incident analysis<\/td><td data-label=\"Open examples\">OECD AI incidents monitor<\/td><td data-label=\"Question it answers\">Patterns of real failures<\/td><td data-label=\"Validation\">Incident verification<\/td><\/tr><\/tbody><\/table><\/div><\/div><\/div><\/section><section id=\"nx-sec-status\" class=\"nx-section\" data-hue=\"infrastructure\" data-tone=\"alt\" aria-labelledby=\"nx-s-7\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">06<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Status<\/span><\/div><h2 id=\"nx-s-7\" class=\"nx-section-title\">Releases appear as they are reviewed.<\/h2><p class=\"nx-lede\">Analysis runs in <a class=\"nx-link\" href=\"https:\/\/therisk.global\/ai-autonomous-systems\/foundry\/\">Nexus Foundry<\/a>; reviewed releases are listed here.<\/p><\/div><\/div><\/section><section id=\"nx-sec-terms\" class=\"nx-section\" data-hue=\"project\" data-tone=\"alt\" data-variant=\"split\" aria-labelledby=\"nx-s-8\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">07<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Key terms<\/span><\/div><h2 id=\"nx-s-8\" class=\"nx-section-title\">Terms used on this page.<\/h2><p class=\"nx-lede\">Each term as this page uses it. Where a standard-setting body defines the term, the wording follows that body.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Term<\/th><th scope=\"col\">Definition<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Term\">Model validation<\/td><td data-label=\"Definition\">Comparing model predictions with independent observations to judge fitness for a stated use.<\/td><\/tr><tr><td data-label=\"Term\">Model card<\/td><td data-label=\"Definition\">A short document describing a model's intended use, training data, performance and limits.<\/td><\/tr><tr><td data-label=\"Term\">Uncertainty quantification<\/td><td data-label=\"Definition\">Characterising and propagating the uncertainties in a model to state confidence in its outputs.<\/td><\/tr><tr><td data-label=\"Term\">Surrogate model<\/td><td data-label=\"Definition\">A fast statistical model trained to approximate a slow simulation or experiment.<\/td><\/tr><\/tbody><\/table><\/div><\/div><\/div><\/section><section id=\"nx-sec-pg-sources\" class=\"nx-section\" data-hue=\"infrastructure\" data-tone=\"alt\" aria-labelledby=\"nx-s-9\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">08<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Sources<\/span><\/div><h2 id=\"nx-s-9\" class=\"nx-section-title\">Where this page's references lead.<\/h2><p class=\"nx-lede\">The bodies and documents this page is read against. Status and editions change; each link goes to the issuing body.<\/p><\/div><div class=\"nx-section-body\"><ul class=\"nx-list\" data-nav=\"true\"><li><a class=\"nx-link\" href=\"https:\/\/crfm.stanford.edu\/helm\/\" target=\"_blank\" rel=\"noopener\"><span>Stanford HELM holistic evaluation of language models<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><li><a class=\"nx-link\" href=\"https:\/\/mlcommons.org\/\" target=\"_blank\" rel=\"noopener\"><span>MLCommons benchmarks (MLPerf)<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><li><a class=\"nx-link\" href=\"https:\/\/oecd.ai\/en\/incidents\" target=\"_blank\" rel=\"noopener\"><span>OECD AI Incidents and Hazards Monitor<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><\/ul><\/div><\/div><\/section><section id=\"nx-s-10-sec\" class=\"nx-section\" data-hue=\"project\" aria-labelledby=\"nx-s-10\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">09<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Questions<\/span><\/div><h2 id=\"nx-s-10\" class=\"nx-section-title\">Questions and answers.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-faq\"><details><summary>Can I request a map or model?<\/summary><div class=\"nx-answer\">Write to <a class=\"nx-link\" href=\"mailto:contact@therisk.global?subject=Artificial%20Intelligence%20and%20Autonomous%20Systems%3A%20Reviewed%20models%20and%20scenarios\">contact@therisk.global<\/a> with what you need and why.<\/div><\/details><\/div><\/div><\/div><\/section><section class=\"nx-section\" data-tone=\"alt\" aria-labelledby=\"nx-rel-11\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">Related<\/span><h2 id=\"nx-rel-11\" class=\"nx-h3 nx-mt-2\">Around Artificial Intelligence and Autonomous Systems.<\/h2><nav class=\"nx-related nx-mt-3\" aria-label=\"Related\"><a href=\"https:\/\/therisk.global\/ai-autonomous-systems\/tools\/maps\/\">Released maps <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/ai-autonomous-systems\/\">Artificial Intelligence and Autonomous Systems home <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/ai-autonomous-systems\/counterparts\/\">Counterparts across the Consortium <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/\">The Global Centre for Risk and Innovation home <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/trust\/\">GCRI governance and trust <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/nav><\/div><\/section><section class=\"nx-closing\" aria-labelledby=\"nx-close-12\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">Artificial Intelligence and Autonomous Systems<\/span><h2 id=\"nx-close-12\" class=\"nx-section-title\">Bring your expertise to this field.<\/h2><p class=\"nx-lede\">The current service level is R0: information and enquiries. An enquiry receives a reference and names the next step; applications, payments, compute allocations and registrations open only when their team, terms and review capacity exist.<\/p><div class=\"nx-actions\"><a class=\"nx-btn\" data-variant=\"primary\" href=\"mailto:contact@therisk.global?subject=Artificial%20Intelligence%20and%20Autonomous%20Systems%3A%20Reviewed%20models%20and%20scenarios\">Write to the team <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a class=\"nx-btn\" data-variant=\"secondary\" href=\"https:\/\/therisk.global\/ai-autonomous-systems\/contact\/\">See all contact routes<\/a><\/div><\/div><\/section><\/div><\/div><script class=\"_iub_cs_skip\">window.__nxMount ? window.__nxMount(document.currentScript) : null;<\/script>\n\n\n<script type=\"application\/ld+json\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"FAQPage\",\"@id\":\"https:\/\/therisk.global\/ai-autonomous-systems\/tools\/models\/#faq\",\"isPartOf\":{\"@id\":\"https:\/\/therisk.global\/ai-autonomous-systems\/tools\/models\/#webpage\"},\"inLanguage\":\"en\",\"mainEntity\":[{\"@type\":\"Question\",\"name\":\"Can I request a map or model?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Write to contact@therisk.global with what you need and why.\"}}]},{\"@type\":\"DefinedTermSet\",\"@id\":\"https:\/\/therisk.global\/ai-autonomous-systems\/tools\/models\/#terms\",\"name\":\"Key terms: Reviewed models and scenarios\",\"inLanguage\":\"en\",\"isPartOf\":{\"@id\":\"https:\/\/therisk.global\/ai-autonomous-systems\/tools\/models\/#webpage\"},\"hasDefinedTerm\":[{\"@type\":\"DefinedTerm\",\"name\":\"Model validation\",\"description\":\"Comparing model predictions with independent observations to judge fitness for a stated use.\",\"inDefinedTermSet\":{\"@id\":\"https:\/\/therisk.global\/ai-autonomous-systems\/tools\/models\/#terms\"}},{\"@type\":\"DefinedTerm\",\"name\":\"Model card\",\"description\":\"A short document describing a model's intended use, training data, performance and limits.\",\"inDefinedTermSet\":{\"@id\":\"https:\/\/therisk.global\/ai-autonomous-systems\/tools\/models\/#terms\"}},{\"@type\":\"DefinedTerm\",\"name\":\"Uncertainty quantification\",\"description\":\"Characterising and propagating the uncertainties in a model to state confidence in its outputs.\",\"inDefinedTermSet\":{\"@id\":\"https:\/\/therisk.global\/ai-autonomous-systems\/tools\/models\/#terms\"}},{\"@type\":\"DefinedTerm\",\"name\":\"Surrogate model\",\"description\":\"A fast statistical model trained to approximate a slow simulation or experiment.\",\"inDefinedTermSet\":{\"@id\":\"https:\/\/therisk.global\/ai-autonomous-systems\/tools\/models\/#terms\"}}]}]}<\/script>\n\n<!-- nx-rev:471090cec027328b -->","protected":false},"excerpt":{"rendered":"<p>LightDarkAuto G-P08 \u00b7 PROCESS \u00b7 modelsGCRI dossier \u00b7 service level R0 GCRI\u00b7Artificial Intelligence and Autonomous Systems\u00b7In development Reviewed models and scenarios Reviewed models and scenarios Model descriptions for Artificial Intelligence &hellip; <a href=\"https:\/\/therisk.global\/ai-autonomous-systems\/tools\/models\/\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;Reviewed models and scenarios&#8221;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":77,"menu_order":313,"comment_status":"closed","ping_status":"closed","template":"elementor_header_footer","meta":{"_buddyx_sub_header_visibility":"","_buddyx_sub_header_title_visibility":"","_hide_show_side_panel":"","_buddyxpro_page_sidebar":"","_buddyxpro_page_disable_header":"","_buddyxpro_page_disable_footer":"","_buddyxpro_page_content_width":"","_buddyxpro_page_header_style":"","_buddyxpro_page_color_mode":"","_buddyxpro_page_loader":"","footnotes":""},"class_list":["post-97","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/therisk.global\/ai-autonomous-systems\/wp-json\/wp\/v2\/pages\/97","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/therisk.global\/ai-autonomous-systems\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/therisk.global\/ai-autonomous-systems\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/therisk.global\/ai-autonomous-systems\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/therisk.global\/ai-autonomous-systems\/wp-json\/wp\/v2\/comments?post=97"}],"version-history":[{"count":1,"href":"https:\/\/therisk.global\/ai-autonomous-systems\/wp-json\/wp\/v2\/pages\/97\/revisions"}],"predecessor-version":[{"id":146,"href":"https:\/\/therisk.global\/ai-autonomous-systems\/wp-json\/wp\/v2\/pages\/97\/revisions\/146"}],"up":[{"embeddable":true,"href":"https:\/\/therisk.global\/ai-autonomous-systems\/wp-json\/wp\/v2\/pages\/77"}],"wp:attachment":[{"href":"https:\/\/therisk.global\/ai-autonomous-systems\/wp-json\/wp\/v2\/media?parent=97"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}