{"id":"W2156144188","doi":"10.1644/ber-121.1","title":"MITOCHONDRIAL PHYLOGEOGRAPHY AND CONSERVATION GENETICS OF WOLVERINE (GULO GULO) OF NORTHWESTERN NORTH AMERICA","year":2005,"lang":"en","type":"article","venue":"Journal of Mammalogy","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Idaho State University; Directorate for Biological Sciences; Alaska Department of Fish and Game; National Park Service; Massachusetts Department of Fish and Game; National Science Foundation","keywords":"Biological dispersal; Endangered species; Phylogeography; Ecology; Biology; mtDNA control region; Genetic diversity; Geography; Mitochondrial DNA; Conservation genetics; Genetic structure; Haplotype; Zoology; Habitat; Genetic variation; Population; Allele; Genetics; Demography; Microsatellite; Phylogenetics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"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":[0.0001719456,0.0000851333,0.000101053,0.0004996284,0.0002924468,0.0002509859,0.00009529489,0.0001219847,0.000637749],"category_scores_gemma":[0.0003813561,0.00007172587,0.00005678118,0.0003829685,0.0002542546,0.0001522049,0.0001642417,0.000115564,0.00008270645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002729885,"about_ca_system_score_gemma":0.0001489503,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02584465,"about_ca_topic_score_gemma":0.07737557,"domain_scores_codex":[0.9999162,0.00002513715,0.000005112931,0.00003025257,0.000008852569,0.00001447981],"domain_scores_gemma":[0.9997616,0.00004779009,0.00009611953,0.00001413457,0.00003061525,0.00004959298],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004131426,0.00001786736,0.9921198,0.000006235842,0.00002564673,0.00008101322,0.001147615,0.00009391247,0.002450246,0.00007688303,0.000105488,0.00383392],"study_design_scores_gemma":[9.458539e-7,0.000008384091,0.9994271,0.00000350256,0.000002839101,0.00006120261,0.0002218298,0.000102167,0.0000259513,0.00001334323,0.0001320065,7.287625e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998106,0.00004507169,0.00001688397,0.00001142956,2.736749e-7,5.111921e-7,0.00002328098,5.87129e-7,0.00009141552],"genre_scores_gemma":[0.9997043,0.00005172092,0.00005857804,0.000007697437,0.000001081515,0.000001666026,0.00008503292,8.517666e-7,0.00008897184],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9741554,"threshold_uncertainty_score":0.05138838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006172571009214478,"score_gpt":0.2004911736449436,"score_spread":0.1943186026357291,"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."}}