{"id":"W2309058092","doi":"10.14288/1.0090290","title":"Mitochondrial and microsatellite DNA diversity throughout the range of a cold adapted freshwater salmonid : phylogeography, local population structure and conservation genetics of Arctic grayling (Thymallus arcticus) in North America","year":2009,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Phylogeography; Grayling; Mitochondrial DNA; Biology; Range (aeronautics); Ecology; Microsatellite; Population genetics; Conservation genetics; Genetic diversity; Evolutionary biology; Arctic; Population; Zoology; Genetics; Phylogenetics; Allele; Gene; Demography","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":[0.0001656032,0.0000700654,0.0001088586,0.0005631136,0.0003224491,0.0002519651,0.00009854466,0.00009360511,0.0004522721],"category_scores_gemma":[0.0002310284,0.00007384532,0.00007865082,0.0004047995,0.0002964406,0.0001201232,0.0002230288,0.0001015569,0.00005773715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003340693,"about_ca_system_score_gemma":0.0002209539,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03146425,"about_ca_topic_score_gemma":0.1176794,"domain_scores_codex":[0.9999244,0.00001013962,0.000006365632,0.00003529941,0.00001291969,0.00001096033],"domain_scores_gemma":[0.9998381,0.00002675464,0.00005032192,0.000008517739,0.00003703026,0.00003916344],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004706291,0.00001834108,0.9771055,0.00001231277,0.00004004957,0.000057537,0.002230813,0.000167498,0.01518026,0.00006376727,0.00005884272,0.005018065],"study_design_scores_gemma":[0.000001502875,0.0000178712,0.9990657,0.000003962482,0.000005989599,0.00005096852,0.000469923,0.00009773686,0.0001332675,0.00001356107,0.0001381123,0.00000130267],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999877,0.00001679192,0.00001461517,0.00000304229,1.656095e-7,3.954659e-7,0.00001740389,3.426067e-7,0.00007020214],"genre_scores_gemma":[0.9997368,0.0000299462,0.00006520429,0.000004495931,5.237868e-7,0.000001788216,0.00006504604,4.955605e-7,0.00009574278],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9685358,"threshold_uncertainty_score":0.06256223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0051941008615729,"score_gpt":0.164780953710555,"score_spread":0.1595868528489821,"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."}}