{"id":"W2022887147","doi":"10.1554/0014-3820(2001)055[0573:hpoacs]2.0.co;2","title":"HOLARCTIC PHYLOGEOGRAPHY OF ARCTIC CHARR (SALVELINUS ALPINUS L.) INFERRED FROM MITOCHONDRIAL DNA SEQUENCES","year":2001,"lang":"en","type":"article","venue":"Evolution","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":287,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University; Ministry of Natural Resources and Forestry; Université Laval","funders":"Bundesamt für Umwelt; Natural Sciences and Engineering Research Council of Canada; Arizona State University","keywords":"Biology; Phylogeography; Salvelinus; Mitochondrial DNA; Zoology; Arctic; Evolutionary biology; Beringia; Monophyly; Ecology; Range (aeronautics); mtDNA control region; Lineage (genetic); Molecular clock; Haplotype; Phylogenetic tree; Genetics; Fishery; Clade; Genotype","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":[],"consensus_categories":[],"category_scores_codex":[0.0003484951,0.0001616993,0.0001606844,0.0008497225,0.0003034099,0.0003333392,0.00008487228,0.000110378,0.0004671071],"category_scores_gemma":[0.0004031943,0.00008919534,0.0001350139,0.000360123,0.000226467,0.0001346774,0.0001849834,0.0001448471,0.0001513269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000236057,"about_ca_system_score_gemma":0.0001402626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00516931,"about_ca_topic_score_gemma":0.01208959,"domain_scores_codex":[0.9998404,0.00006018447,0.000008642129,0.00004211904,0.00002393295,0.00002464206],"domain_scores_gemma":[0.9997151,0.00006212915,0.0001152752,0.0000171766,0.00004164794,0.00004871645],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000188013,0.00003567752,0.9712753,0.00001952732,0.0001196902,0.0001575465,0.001068251,0.0002940999,0.0176102,0.00006815998,0.00005922424,0.009104216],"study_design_scores_gemma":[0.000001661707,0.00002674953,0.9991286,0.000003470159,0.00001044589,0.0000788832,0.0001811688,0.0002774671,0.0001485658,0.00001491456,0.0001263622,0.0000016432],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997937,0.00004733598,0.00004439083,0.000004122955,3.376381e-7,3.846663e-7,0.00001869009,0.000001439957,0.00008961527],"genre_scores_gemma":[0.9996948,0.00004892082,0.00008779619,0.000003749175,0.000002087632,9.518169e-7,0.0001057392,0.000001328959,0.00005454239],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00516931,"threshold_uncertainty_score":0.0102784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009562496299583521,"score_gpt":0.2235850230680212,"score_spread":0.2140225267684377,"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."}}