{"id":"W4386892138","doi":"10.1002/wmon.1078","title":"Berries and bullets: influence of food and mortality risk on grizzly bears in British Columbia","year":2023,"lang":"en","type":"article","venue":"Wildlife Monographs","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wildlife Conservation Society Canada; Pacific Insight Electronics (Canada); University of Alberta","funders":"U.S. Fish and Wildlife Service; Fisheries and Oceans Canada; Nature Conservancy of Canada; Great Northern Landscape Conservation Cooperative; Habitat Conservation Trust Foundation; Parks Canada; Yellowstone to Yukon Conservation Initiative; Liber Ero Foundation; Liz Claiborne Art Ortenberg Foundation; National Fish and Wildlife Foundation; Wilburforce Foundation","keywords":"Grizzly Bears; Ursus; Geography; Forage; Population; Habitat; Wildlife; Human–wildlife conflict; Ecology; Wildlife management; National park; Biology; Demography; Archaeology","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":[0.0003201936,0.0001696304,0.0002090636,0.0007307544,0.001590942,0.0007984845,0.0005473105,0.0002803807,0.002481939],"category_scores_gemma":[0.00124161,0.0001298342,0.0001529921,0.001033621,0.0005030471,0.0002540379,0.0005825798,0.0004118553,0.0002320753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004942042,"about_ca_system_score_gemma":0.002319383,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9474647,"about_ca_topic_score_gemma":0.9872607,"domain_scores_codex":[0.9997537,0.00003280315,0.00001131014,0.00005209436,0.00005777935,0.00009232885],"domain_scores_gemma":[0.9988047,0.0001413445,0.000233274,0.00005065403,0.0004024729,0.0003676277],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004091098,0.0000155401,0.9959444,0.000005102272,0.00001954647,0.00008424978,0.0005274105,0.000103187,0.0002409741,0.00002954119,0.0004731651,0.002516033],"study_design_scores_gemma":[4.315885e-7,0.000003693884,0.9989943,0.000003448172,0.00000345077,0.00001142965,0.0006891942,0.00006810105,0.00001112639,0.000006025751,0.000207135,0.000001689871],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984697,0.00009086036,0.00002209386,0.00009355006,0.000003228689,0.000003743548,0.0003675629,0.000002382619,0.0009468062],"genre_scores_gemma":[0.9987881,0.00009133875,0.00003755104,0.00002789425,0.000001926266,0.000003556215,0.0002628223,0.000002228001,0.000784624],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0525353,"threshold_uncertainty_score":0.1056893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008611687857120172,"score_gpt":0.2089138964944685,"score_spread":0.2003022086373484,"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."}}