{"id":"W4401727993","doi":"10.1038/s41598-024-69782-w","title":"Genomic architecture and population structure of Boreogadus saida from Canadian waters","year":2024,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland; Université du Québec à Rimouski; Fisheries and Oceans Canada","funders":"Fisheries and Oceans Canada; Natural Sciences and Engineering Research Council of Canada; ArcticNet; Crown-Indigenous Relations and Northern Affairs Canada; Canada Foundation for Innovation; Université du Québec à Rimouski","keywords":"Biology; Arctic; Population; Bay; Range (aeronautics); Introgression; Ecology; Geography; Evolutionary biology; Fishery; Genetics; Demography; Gene","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0002536688,0.0002225982,0.0003290655,0.002371322,0.001875997,0.0008639177,0.0005409417,0.0002712309,0.0008598033],"category_scores_gemma":[0.0005405165,0.0001748347,0.0003076821,0.001937079,0.0008541657,0.0001435827,0.0006287675,0.0003447822,0.0001270281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005660201,"about_ca_system_score_gemma":0.003708504,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8655339,"about_ca_topic_score_gemma":0.9280799,"domain_scores_codex":[0.9996324,0.00001587251,0.00001526138,0.0001589519,0.00008931747,0.00008811851],"domain_scores_gemma":[0.9996181,0.00003337156,0.00005070882,0.00001812913,0.0001929554,0.00008676171],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002927446,0.00003549086,0.8979853,0.00007179874,0.0001689073,0.0002012689,0.006324783,0.0006735569,0.06792101,0.0006659952,0.0003310272,0.02532803],"study_design_scores_gemma":[0.00000337562,0.00001535866,0.997726,0.00000765473,0.00002002392,0.00005871388,0.0008060539,0.0002209306,0.0002453066,0.00004606607,0.0008412505,0.000009263706],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980125,0.0001579474,0.0002341272,0.00003706589,0.000002282994,0.000009334326,0.0004804084,0.000006486511,0.001059767],"genre_scores_gemma":[0.9981802,0.0001201952,0.0004356267,0.00002714746,0.000001800655,0.000008072619,0.0008323447,0.000004512124,0.0003901463],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1344661,"threshold_uncertainty_score":0.2705159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004450994307291471,"score_gpt":0.1980043401819287,"score_spread":0.1935533458746372,"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."}}