{"id":"W2072008994","doi":"10.1371/journal.pone.0102982","title":"Can Occupancy–Abundance Models Be Used to Monitor Wolf Abundance?","year":2014,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Government of Northwest Territories; University of Alberta; Alberta Environment and Protected Areas","funders":"Natural Sciences and Engineering Research Council of Canada; Forest Resource Improvement Association of Alberta; Alberta-Pacific Forest Industries; Petroleum Technology Alliance Canada; Canadian Association of Petroleum Producers; Alberta Conservation Association","keywords":"Occupancy; Abundance (ecology); Ecology; Breeding bird survey; Geography; Environmental science; Physical geography; Biology","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01059841,0.001154972,0.001348471,0.001165866,0.0004428751,0.001292173,0.003108194,0.002314302,0.001993941],"category_scores_gemma":[0.05131317,0.001130643,0.001368981,0.001274754,0.001134439,0.004425236,0.001170049,0.001728781,0.0008231367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001368965,"about_ca_system_score_gemma":0.000653968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01803709,"about_ca_topic_score_gemma":0.01402958,"domain_scores_codex":[0.9969634,0.001977551,0.0001200871,0.0005462155,0.0001990517,0.0001937018],"domain_scores_gemma":[0.9793816,0.01601112,0.002185695,0.001339942,0.0007418894,0.000339838],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001696737,0.0001294612,0.08049322,0.0001228038,0.000477348,0.0001004689,0.0002165401,0.8675961,0.0003050701,0.01611978,0.002135001,0.03213458],"study_design_scores_gemma":[0.00001470389,0.00003265232,0.00390333,0.00001712582,0.00002412854,0.00005219051,0.00003302685,0.979463,0.00007638831,0.01572084,0.0006417191,0.00002079036],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3557684,0.001796909,0.6287952,0.004343315,0.0003009407,0.0002062424,0.001702703,0.001121382,0.005964855],"genre_scores_gemma":[0.9512535,0.0004972351,0.04390274,0.0006940442,0.0001480972,0.0002776683,0.0009038979,0.000154756,0.002168098],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9894016,"threshold_uncertainty_score":0.05605042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04562627700401035,"score_gpt":0.2240235581006153,"score_spread":0.178397281096605,"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."}}