{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003589479,0.0000787879,0.0001643178,0.00005330784,0.0001501145,0.00004711278,0.00009451402,0.00009695381,0.00004761506],"category_scores_gemma":[0.000119151,0.0001205615,0.00002800319,0.0005142602,0.0005415718,0.0001704351,0.0001146036,0.0001390269,0.00001344501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001342684,"about_ca_system_score_gemma":0.000007178665,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02149701,"about_ca_topic_score_gemma":0.1201843,"domain_scores_codex":[0.9990258,0.00008253492,0.0002349549,0.0003006937,0.0001522739,0.0002036968],"domain_scores_gemma":[0.9995546,0.0001140396,0.000100007,0.0001571963,0.000006174662,0.00006798607],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000005843607,0.00003484896,0.9942447,0.000009092791,0.00001488496,0.00000702207,0.0002351676,0.000277488,0.00001708648,0.00001298016,0.003470752,0.001670139],"study_design_scores_gemma":[0.0003293535,0.0001629937,0.994827,0.00003222886,0.00001294038,0.000003827824,0.0001388533,0.00009637415,0.000005892192,0.003863291,0.0004112658,0.0001160359],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99927,0.00004126523,0.000001043579,0.0002300903,0.0000345617,0.0002006304,0.00005929462,0.00004214237,0.0001209283],"genre_scores_gemma":[0.9986703,0.000475041,0.00007276823,0.0006802165,0.00000582689,0.00003567958,0.000008372987,0.000007547314,0.00004423074],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09868728,"threshold_uncertainty_score":0.9850189,"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."}}