{"id":"W2904250481","doi":"10.1002/ece3.4617","title":"Land tenure shapes black bear density and abundance on a multi‐use landscape","year":2018,"lang":"en","type":"article","venue":"Ecology and Evolution","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Parks Canada; Alberta Parks; TD Friends of the Environment Foundation; Alberta Environment and Parks; The Wildlife Society; Alberta Conservation Association","keywords":"Abundance (ecology); Geography; Distance sampling; Ecology; Land use; Biology","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":[0.0001844495,0.00007590545,0.00008495749,0.00002180743,0.000291454,0.00001118194,0.00003212383,0.0001526477,0.0002363565],"category_scores_gemma":[0.00008624928,0.00006890016,0.00001020496,0.0000590971,0.000488879,0.0001745656,0.00005530468,0.0000957493,0.0004299039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003688452,"about_ca_system_score_gemma":0.000006457533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000850564,"about_ca_topic_score_gemma":0.003465901,"domain_scores_codex":[0.9994178,0.00007265174,0.0000781202,0.0002331077,0.00004155317,0.0001567045],"domain_scores_gemma":[0.9997503,0.00008747522,0.00003852843,0.00006832791,0.0000092507,0.00004608553],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009089609,0.00003894963,0.9966063,0.000002840433,0.000006050934,0.000002939419,0.0001428286,0.00002415857,0.000253206,0.0002090069,0.002535449,0.00008730989],"study_design_scores_gemma":[0.0004166643,0.0002274768,0.9929785,0.000005216418,0.00001085714,0.00001634657,0.00002592525,0.00478968,0.00001984322,0.0007158483,0.000713416,0.0000802246],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983848,0.00001739403,0.000144616,0.0007182683,0.0001046218,0.0001055313,0.000002290561,0.0000258519,0.0004966176],"genre_scores_gemma":[0.9981015,0.00002171895,0.0003077974,0.0007848965,0.00005764348,0.000005763379,0.000004722436,0.000003623901,0.0007123258],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004765521,"threshold_uncertainty_score":0.5525688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01002468928250211,"score_gpt":0.2098226301859962,"score_spread":0.1997979409034941,"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."}}