{"id":"W2012199881","doi":"10.1371/journal.pone.0034777","title":"Estimating Grizzly and Black Bear Population Abundance and Trend in Banff National Park Using Noninvasive Genetic Sampling","year":2012,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":103,"is_retracted":false,"has_abstract":true,"ca_institutions":"Parks Canada","funders":"Parks Canada; Montana State University; Johns Hopkins University; Wilburforce Foundation; National Fish and Wildlife Foundation; Henry P. Kendall Foundation; Alberta Conservation Association","keywords":"Ursus; Grizzly Bears; National park; Population; Abundance (ecology); Mark and recapture; Ecology; Geography; Demography; Distance sampling; Biology; Zoology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001766744,0.0003336822,0.0003149933,0.001064246,0.0005469147,0.0004497512,0.000711064,0.0002354582,0.0004425272],"category_scores_gemma":[0.002563052,0.0002955522,0.0002073514,0.0005557021,0.0004481513,0.0004217162,0.0004354975,0.0003163805,0.00011022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002455324,"about_ca_system_score_gemma":0.001769039,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6418721,"about_ca_topic_score_gemma":0.875709,"domain_scores_codex":[0.9992607,0.0001722042,0.00002038323,0.0001908309,0.0002539637,0.0001018567],"domain_scores_gemma":[0.9984214,0.0003840401,0.0004051353,0.00009748716,0.0005220444,0.0001698229],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002510989,0.00002351745,0.9933564,0.000006754383,0.00002522717,0.00002625496,0.0002258815,0.0007626389,0.0005578735,0.00003870625,0.00008420002,0.004867372],"study_design_scores_gemma":[0.000008026902,0.00005263567,0.9922578,0.000008529222,0.00002501884,0.00006305207,0.000297789,0.006736148,0.0001795475,0.000060291,0.000300215,0.00001088315],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983957,0.00007625906,0.001038246,0.00002389597,0.000002057365,0.00001522336,0.0001534537,0.00001085125,0.0002841729],"genre_scores_gemma":[0.9942782,0.0001099468,0.004477764,0.00003444821,0.000006189585,0.00002865752,0.0006682279,0.000004577998,0.0003919295],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3581279,"threshold_uncertainty_score":0.7204739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0598213110640845,"score_gpt":0.2525375376077008,"score_spread":0.1927162265436163,"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."}}