{"id":"W4401397016","doi":"10.1111/ele.14486","title":"Assessing the risk of climate maladaptation for Canadian polar bears","year":2024,"lang":"en","type":"article","venue":"Ecology Letters","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University; Ministry of Natural Resources and Forestry; Government of Newfoundland and Labrador; Government of Nunavut; University of Alberta; Government of Northwest Territories; MacEwan University; Environment and Climate Change Canada; University of Manitoba","funders":"","keywords":"Maladaptation; Ursus maritimus; Arctic; Sea ice; Climate change; Global warming; Arctic ecology; Ecology; Environmental science; Geography; Climatology; Biology; Meteorology; Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003482612,0.00005741783,0.00007450722,0.00002184744,0.000202177,0.00002618893,0.0001089249,0.00002670844,0.000562523],"category_scores_gemma":[0.00004724979,0.00004272713,0.00005027574,0.00009769141,0.0001109646,0.0001107554,0.00006850593,0.0000797635,0.0001140689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001839372,"about_ca_system_score_gemma":0.00001246605,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.09762908,"about_ca_topic_score_gemma":0.4831813,"domain_scores_codex":[0.999419,0.00005145704,0.0001073021,0.0001395874,0.00005677055,0.0002258609],"domain_scores_gemma":[0.9996616,0.0001852349,0.00003785464,0.00008249945,0.000002510105,0.00003036366],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000002544884,0.00000637717,0.9647165,0.00003102612,0.00006528015,0.00001026644,0.0002628536,0.0004547617,0.00070729,0.0002768601,0.01649246,0.0169738],"study_design_scores_gemma":[0.00004247937,0.00002339039,0.9509084,0.000004659622,0.0000456305,0.000002041208,0.00006941378,0.001765539,0.00001844891,0.00007543294,0.04699689,0.00004769664],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9839189,0.00007097106,0.0001174841,0.01167336,0.0002357679,0.000213989,0.00002119648,0.0000140729,0.003734235],"genre_scores_gemma":[0.9960323,0.00009091928,0.0007703478,0.00301357,0.00002989813,0.00002163165,0.000004110093,0.000008194358,0.0000290235],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3855522,"threshold_uncertainty_score":0.9083799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0136684203821645,"score_gpt":0.2538243319636362,"score_spread":0.2401559115814717,"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."}}