{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005186871,0.0001217626,0.0001286938,0.00006923255,0.00008059741,0.00001416615,0.0001554422,0.0001804177,0.000100508],"category_scores_gemma":[0.00006932348,0.0001256466,0.0001247495,0.0001632296,0.0001000729,0.000007745498,0.00005468408,0.00007468042,0.00001559502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001581738,"about_ca_system_score_gemma":0.00004630897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006354834,"about_ca_topic_score_gemma":0.0001296268,"domain_scores_codex":[0.9991482,0.00006519953,0.0001884684,0.0002661134,0.0001757883,0.000156157],"domain_scores_gemma":[0.9994287,0.000008650802,0.0001247022,0.000251101,0.0001259667,0.00006091854],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002109015,0.00004991234,0.2479804,0.00001512693,0.0001140886,0.000003290064,0.0001182144,0.0003939322,0.7493677,0.0001630199,0.0006208338,0.0009626024],"study_design_scores_gemma":[0.001254286,0.0002831279,0.9494604,0.00003135907,0.00009592459,0.00002160677,0.0001781874,0.000105847,0.03261434,0.003995758,0.01165198,0.0003071517],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949978,0.0008266116,0.00295654,0.00008468932,0.0006616476,0.0001297004,0.00006938741,0.00001250787,0.0002611193],"genre_scores_gemma":[0.9978625,0.00006730845,0.001090803,0.00006719409,0.0004404702,0.000004059346,0.0003389627,0.000007581366,0.0001211314],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7167533,"threshold_uncertainty_score":0.512372,"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."}}