{"id":"W2109129264","doi":"10.1139/z04-100","title":"Monitoring of grizzly bear population trends and demography using DNA mark–recapture methods in the Owikeno Lake area of British Columbia","year":2004,"lang":"en","type":"article","venue":"Canadian Journal of Zoology","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":81,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Grizzly Bears; Ursus; Mark and recapture; Population; Escapement; Vital rates; Population size; Sampling (signal processing); Wildlife; Biology; Minimum viable population; Ecology; Geography; Population growth; Fishery; Demography; Habitat; Endangered species","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004655289,0.0001722132,0.0001597557,0.0009817427,0.0007278808,0.0003663138,0.0004588893,0.0001527682,0.000439966],"category_scores_gemma":[0.001196794,0.0001698109,0.00009287347,0.001114158,0.0003572503,0.0002605007,0.0003262264,0.0002603892,0.00009871592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003345011,"about_ca_system_score_gemma":0.002202268,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8692212,"about_ca_topic_score_gemma":0.9657458,"domain_scores_codex":[0.9997302,0.00004356814,0.00001263819,0.00005899999,0.0001002482,0.00005435406],"domain_scores_gemma":[0.9992198,0.00008097593,0.000184008,0.00005279032,0.000322708,0.0001396928],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003697765,0.00002690992,0.9804568,0.00002115591,0.00003068857,0.00008962253,0.0008373532,0.0005434144,0.002021978,0.00004704085,0.0003798581,0.01550813],"study_design_scores_gemma":[0.000002768567,0.00001271064,0.9983957,0.000004840924,0.000007155119,0.00002584192,0.0002798847,0.0007333212,0.0001616831,0.00001119329,0.0003601727,0.000004587782],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998957,0.00008229876,0.0002373037,0.00003344459,0.000001166222,0.00001060103,0.000222678,0.00001336162,0.0004421016],"genre_scores_gemma":[0.9976493,0.000174382,0.001095339,0.00001914191,0.00000224172,0.0000200095,0.000468902,0.000003939413,0.0005667512],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1307788,"threshold_uncertainty_score":0.2630979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01543934287905219,"score_gpt":0.2434468708793204,"score_spread":0.2280075280002682,"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."}}