{"id":"W2901489099","doi":"10.1371/journal.pgen.1007745","title":"Population genomics of grey wolves and wolf-like canids in North America","year":2018,"lang":"en","type":"article","venue":"PLoS Genetics","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":105,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"H2020 Marie Skłodowska-Curie Actions; U.S. Fish and Wildlife Service; Aage og Johanne Louis-Hansens Fond; Horizon 2020 Framework Programme; Ministry of Natural Resources; University of Alberta; Museum of the North, University of Alaska; Velux Fonden","keywords":"Canis; Biology; Population; Gray wolf; Gene flow; Zoology; Ecology; Arctic; Wildlife; Genetic diversity; Geography; Demography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0002361083,0.0001177179,0.0002051919,0.000559804,0.0002773585,0.0003868231,0.0001258077,0.0001653968,0.0004916881],"category_scores_gemma":[0.0005376232,0.0000993154,0.0001283158,0.0008939876,0.0002075919,0.0002855019,0.0003035358,0.0001999311,0.00006097093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002510115,"about_ca_system_score_gemma":0.0002036327,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01448684,"about_ca_topic_score_gemma":0.03733052,"domain_scores_codex":[0.9998438,0.00002165353,0.000007633504,0.00008497402,0.00002185546,0.00002003876],"domain_scores_gemma":[0.9997323,0.00006689849,0.00006800217,0.00002742384,0.00004221811,0.00006313499],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002457839,0.0000668608,0.9205408,0.00009720788,0.0004036304,0.0001883614,0.003551555,0.001162139,0.04581639,0.0005300188,0.000936217,0.02646114],"study_design_scores_gemma":[0.000002600221,0.00001094376,0.9984226,0.000007478762,0.00001582007,0.00004691572,0.0004080904,0.0002443148,0.0001327411,0.0001201788,0.0005857674,0.00000245216],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990932,0.0001044733,0.00008076378,0.00002490872,7.624888e-7,0.00000159083,0.0004409704,0.000001959095,0.0002514037],"genre_scores_gemma":[0.9970086,0.0001873144,0.0004543677,0.00005104999,0.000002573007,0.000009858662,0.002081486,0.00000476074,0.0001998995],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9855132,"threshold_uncertainty_score":0.02880508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01172341312348215,"score_gpt":0.2026987836776674,"score_spread":0.1909753705541852,"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."}}