{"id":"W6939398036","doi":"10.6084/m9.figshare.25206887.v2","title":"Assessing the risk of climate maladaptation for Canadian polar bears","year":2024,"lang":"en","type":"dataset","venue":"Figshare","topic":"Spatial and Panel Data Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Maladaptation; Sea ice; Arctic; Ursus maritimus; Climate change; Global warming; Arctic ecology; Arctic ice pack; Subarctic climate","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002209169,0.0001549531,0.0003359919,0.0003260173,0.0001701113,0.0002792443,0.000388762,0.0001953224,0.05885351],"category_scores_gemma":[0.0008392184,0.0001374518,0.0002362019,0.0002558414,0.000006353006,0.0001562857,0.00006376909,0.0002344273,0.009705496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007279713,"about_ca_system_score_gemma":0.00009838482,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1327898,"about_ca_topic_score_gemma":0.1512182,"domain_scores_codex":[0.9989638,0.00001542838,0.0004329732,0.0003086062,0.00003466767,0.0002444969],"domain_scores_gemma":[0.9987828,0.000158239,0.0005029167,0.0004396061,0.00004672849,0.00006977281],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[8.940811e-7,0.000004051245,0.0001037546,0.0003265392,0.0001242259,0.00000209725,0.00001445853,0.0000320797,1.763295e-8,0.00003802776,0.998952,0.0004018265],"study_design_scores_gemma":[0.00004613823,0.00001250367,0.001855332,0.0003469812,0.00009597853,6.788865e-7,0.0000273819,0.001493435,5.658981e-7,0.0003921239,0.9955672,0.0001616731],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000007614323,0.001833353,0.000002412756,0.00009158242,0.0001915293,0.0002195919,0.9972709,0.000007269823,0.0003757072],"genre_scores_gemma":[0.0003411984,0.0003427238,0.00003676549,0.0001143878,0.0002020654,0.000117129,0.9987846,0.00002045764,0.00004070028],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04914801,"threshold_uncertainty_score":0.9910656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07184024023767951,"score_gpt":0.2731682955007941,"score_spread":0.2013280552631146,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}