{"id":"W4205113679","doi":"10.14430/arctic74053","title":"Recovery From Reduction: The M’Clintock Channel Polar Bear Subpopulation, Nunavut, Canada","year":2022,"lang":"en","type":"article","venue":"ARCTIC","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of Nunavut","funders":"Nunavut Wildlife Management Board; Environment and Climate Change Canada; Government of Nunavut; World Wildlife Fund","keywords":"Mark and recapture; Abundance (ecology); Statistics; Population; Credible interval; Geography; Demography; Bayesian probability; Biology; Physical geography; Ecology; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001704304,0.00009521312,0.00009703779,0.000006920417,0.0007501761,0.00001545599,0.0002757963,0.00001229384,0.01353238],"category_scores_gemma":[0.00004947444,0.00008025892,0.00004233306,0.0002364466,0.00004840344,0.00009042606,0.0006103718,0.0001813863,0.000149627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007610519,"about_ca_system_score_gemma":0.00003651123,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9820675,"about_ca_topic_score_gemma":0.9481047,"domain_scores_codex":[0.9988798,0.0001014318,0.0001604489,0.0002523153,0.000404905,0.000201111],"domain_scores_gemma":[0.9995289,0.00005462033,0.00007637528,0.0002849278,0.00000625952,0.00004888919],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009290024,0.0001442612,0.7437025,0.00001779534,0.0001688668,0.00003941789,0.001377914,0.01845102,0.0002096877,0.0001760141,0.2234186,0.01220104],"study_design_scores_gemma":[0.00009806664,0.00005187112,0.7544658,0.000002760353,0.00002288622,0.00001546012,0.0004464866,0.0002682095,0.00001406114,0.00215287,0.2423277,0.0001338859],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9853123,0.0004381461,0.000005027705,0.007481078,0.0007681837,0.0002624744,0.00004298481,0.00002188975,0.005667945],"genre_scores_gemma":[0.9962376,0.00005407609,0.00004525769,0.00162488,0.0001317619,0.00004669603,0.0000259201,0.00001113303,0.001822714],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03396283,"threshold_uncertainty_score":0.9873694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01447799551764394,"score_gpt":0.20215047347488,"score_spread":0.187672477957236,"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."}}