{"id":"W2971171091","doi":"10.1038/s41598-019-48853-3","title":"Hunters select for behavioral traits in a large carnivore","year":2019,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Center for Advanced Study, University of Illinois at Urbana-Champaign; Natural Sciences and Engineering Research Council of Canada; Naturvårdsverket; Fonds de recherche du Québec – Nature et technologies; Narodowe Centrum Badań i Rozwoju; Austrian Science Fund; Svenska Jägareförbundet","keywords":"Ursus; Carnivore; Wildlife; Biology; Selection (genetic algorithm); Ecology; Population; Habitat; Behavioral ecology; Predation; Demography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0003951452,0.0001208241,0.0001355215,0.0003637475,0.0002805186,0.0003317417,0.000098465,0.0001370541,0.0008354719],"category_scores_gemma":[0.0006439102,0.0001502886,0.0001139721,0.0001583175,0.0004055879,0.0001428671,0.0003055962,0.0001662571,0.0001210586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008767272,"about_ca_system_score_gemma":0.0001133102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001529681,"about_ca_topic_score_gemma":0.007304472,"domain_scores_codex":[0.9998741,0.00004562798,0.000006914292,0.0000340325,0.00001840205,0.00002093233],"domain_scores_gemma":[0.9994677,0.0001230199,0.0002113295,0.00006986249,0.00003460354,0.00009355824],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009386084,0.00009883868,0.9715854,0.00001394696,0.00008273368,0.0001574171,0.0004800134,0.00009288835,0.02241983,0.00003275679,0.00008050162,0.004861924],"study_design_scores_gemma":[6.992441e-7,0.00004988535,0.9994324,0.000001288124,0.000005044685,0.00009527431,0.0001576813,0.00006391701,0.0001413041,0.00001322182,0.00003781688,0.000001647765],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998356,0.00001746058,0.00004021108,0.000004043437,5.113819e-7,8.482386e-7,0.000008004899,0.00000114448,0.0000921196],"genre_scores_gemma":[0.9996068,0.00002112514,0.0001568006,0.00001497988,0.00000242233,0.000003041984,0.00003630673,0.00000135377,0.000157139],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001529681,"threshold_uncertainty_score":0.003041565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01017077704855681,"score_gpt":0.2420151948434466,"score_spread":0.2318444177948897,"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."}}