{"id":"W2111503260","doi":"10.1002/wsb.167","title":"Mad cow policy and management of grizzly bear incidents","year":2012,"lang":"en","type":"article","venue":"Wildlife Society Bulletin","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Grizzly Bears; Ursus; Wildlife; Human–wildlife conflict; Livestock; Wildlife management; Geography; Population; Business; Environmental protection; Ecology; Biology; Environmental health; Forestry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001377861,0.0001033606,0.000103837,0.0009185314,0.001054351,0.001215338,0.0009439268,0.000585699,0.003854192],"category_scores_gemma":[0.003586546,0.00009252431,0.00009436268,0.0005879379,0.0006105353,0.000317851,0.0005352311,0.0004571858,0.0001642121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00958524,"about_ca_system_score_gemma":0.006792438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4818583,"about_ca_topic_score_gemma":0.7462836,"domain_scores_codex":[0.9990523,0.0002310932,0.00002927088,0.0000590011,0.0002492535,0.0003790289],"domain_scores_gemma":[0.9973789,0.0004192521,0.0009180782,0.00006396435,0.0004353564,0.000784369],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005589701,0.0005394272,0.8878647,0.0002192489,0.0001132526,0.0008890579,0.002764553,0.009263217,0.004204957,0.007015985,0.02333747,0.06322917],"study_design_scores_gemma":[0.00001758826,0.0001579422,0.9765168,0.00006064833,0.00001641238,0.00006722063,0.00352863,0.002785329,0.0005272403,0.0004874638,0.01581928,0.00001557061],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9746003,0.0008430525,0.0004597773,0.004716473,0.00005005199,0.00008309432,0.0004828458,0.00004761396,0.01871683],"genre_scores_gemma":[0.9960468,0.0002022614,0.0004113223,0.0004165969,0.00002108734,0.00001472552,0.0001416306,0.000002397822,0.002743138],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4818583,"threshold_uncertainty_score":0.9581072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009289836633215033,"score_gpt":0.2283553267956755,"score_spread":0.2190654901624604,"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."}}