{"id":"W2466732114","doi":"10.2981/wlb.00165","title":"Ecological implications from spatial patterns in human‐caused brown bear mortality","year":2016,"lang":"en","type":"article","venue":"Wildlife Biology","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":81,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Center for Advanced Study, University of Illinois at Urbana-Champaign; Narodowe Centrum Badań i Rozwoju; Norges Forskningsråd; Naturvårdsverket; Statens veterinärmedicinska anstalt; Svenska Jägareförbundet","keywords":"Ursus; Wildlife; Ecology; Habitat; Geography; Population; Human–wildlife conflict; Wildlife management; Spatial ecology; Wildlife conservation; Ecological trap; Demography; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002075706,0.0001322209,0.0001899947,0.0000308311,0.0001181498,0.000006097485,0.0002822126,0.0002817613,0.005685607],"category_scores_gemma":[0.0001060872,0.00009439475,0.000047758,0.00008292539,0.0003179161,0.0001036465,0.000177573,0.0001136413,0.0006292524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001438294,"about_ca_system_score_gemma":0.00001548982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002603734,"about_ca_topic_score_gemma":0.01480242,"domain_scores_codex":[0.9986246,0.0002159641,0.0003137731,0.0004642495,0.00005907861,0.0003223521],"domain_scores_gemma":[0.9992697,0.0002153847,0.0001033175,0.0003264022,0.000006256052,0.00007892182],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00000761475,0.0001180209,0.987776,4.215876e-7,0.00001033395,0.000002687815,0.00002333991,0.000002221572,0.008382195,0.0008474671,0.001180855,0.001648874],"study_design_scores_gemma":[0.0005134306,0.00008845211,0.9845659,0.000004159864,0.000007975064,9.843237e-7,0.000005369398,0.00001170014,0.00009242312,0.007845838,0.006723118,0.000140638],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.988664,0.000003397596,0.001427073,0.008579726,0.0001667092,0.0001973463,0.00008304195,0.00005458949,0.0008241082],"genre_scores_gemma":[0.995648,0.00001159346,0.00008096805,0.003804744,0.0001188586,0.00009149862,0.00008228569,0.000007380761,0.0001546337],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01219868,"threshold_uncertainty_score":0.9952233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.030142809556792,"score_gpt":0.2741226282880147,"score_spread":0.2439798187312227,"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."}}