{"id":"W3127215376","doi":"10.1093/jmammal/gyaa175","title":"Characterizing the elusive Vancouver Island wolverine, <i>Gulo gulo vancouverensis</i>, using historical DNA","year":2020,"lang":"en","type":"article","venue":"Journal of Mammalogy","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Environment; Government of British Columbia; Collège Boréal; Vancouver Island University","funders":"Natural Sciences and Engineering Research Council of Canada; Vancouver Island University","keywords":"Subspecies; Population; Geography; Mustelidae; Ecology; Microsatellite; Mainland; Biology; Zoology; Evolutionary biology; Demography; Allele; Genetics","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":[0.0001335686,0.0001837692,0.0001055579,0.0009010105,0.0008395324,0.0006770771,0.0002683912,0.0002998387,0.0005501882],"category_scores_gemma":[0.000465487,0.0001058934,0.00005885755,0.0006848286,0.0004181159,0.0001501591,0.0003424416,0.0002001852,0.0001907457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005188947,"about_ca_system_score_gemma":0.0003401615,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1531411,"about_ca_topic_score_gemma":0.5849971,"domain_scores_codex":[0.9998763,0.00001310507,0.000007612211,0.00004314026,0.0000280375,0.00003179325],"domain_scores_gemma":[0.9996309,0.00002847179,0.0001074431,0.00001988055,0.0001264433,0.00008677284],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003403346,0.00001319128,0.9707334,0.00002402509,0.00002092021,0.0002334569,0.001079545,0.00008218934,0.01819494,0.0000446176,0.0001531685,0.009386438],"study_design_scores_gemma":[0.000001141326,0.00002526498,0.9961134,0.00001834412,0.00000823843,0.0003261809,0.00153537,0.0001248105,0.0006457677,0.00001630648,0.001181955,0.000003199003],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987091,0.0001191576,0.0001796726,0.00001329977,0.000001712262,0.00000788229,0.0001698746,0.000002485154,0.0007968483],"genre_scores_gemma":[0.9983584,0.000108216,0.0006044882,0.0000289617,0.00000185111,0.000006788201,0.0004046811,0.000003064652,0.0004835131],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8468589,"threshold_uncertainty_score":0.3044994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01705944040803868,"score_gpt":0.2075069587810148,"score_spread":0.1904475183729761,"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."}}