{"id":"W2131624592","doi":"10.1002/jwmg.186","title":"Trends in intensive management of Alaska's grizzly bears, 1980–2010","year":2011,"lang":"en","type":"article","venue":"Journal of Wildlife Management","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Grizzly Bears; Ursus; Geography; Hunting season; Predation; Ecology; Population; Demography; Biology; Sociology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004261181,0.0001615252,0.0001035684,0.001128752,0.0003450482,0.0003861755,0.0003649684,0.0003163974,0.001184288],"category_scores_gemma":[0.0006938219,0.00009614861,0.0002163309,0.0006954303,0.000323916,0.0003951849,0.0004702216,0.0003852645,0.0002663359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000863886,"about_ca_system_score_gemma":0.0005048963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05322789,"about_ca_topic_score_gemma":0.1324793,"domain_scores_codex":[0.9997682,0.00001904818,0.0000267618,0.00006579006,0.00007566455,0.00004446592],"domain_scores_gemma":[0.9989255,0.0000626753,0.0005855306,0.00002953921,0.000184937,0.0002117831],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006195964,0.0000697065,0.9873036,0.00005319437,0.00005364968,0.0001497318,0.0004353751,0.0002464778,0.0007841562,0.00007432746,0.001469858,0.009297905],"study_design_scores_gemma":[8.913886e-7,0.00002060207,0.9983986,0.000012676,0.000004640578,0.00007756353,0.0002453004,0.00005500812,0.00004630253,0.000009902278,0.001126663,0.000001773211],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931351,0.001607455,0.0000803392,0.0002124347,0.00002659018,0.000006604745,0.001011181,0.00001600256,0.003904219],"genre_scores_gemma":[0.993102,0.001889848,0.0002352925,0.0001490397,0.00005186802,0.00001906633,0.002616591,0.000004062641,0.001932277],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05322789,"threshold_uncertainty_score":0.1058362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02071697939061789,"score_gpt":0.2270618016469477,"score_spread":0.2063448222563298,"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."}}