{"id":"W3161872948","doi":"10.1016/j.ympev.2021.107204","title":"A genomic perspective on an old question: Salmo trouts or Salmo trutta (Teleostei: Salmonidae)?","year":2021,"lang":"en","type":"article","venue":"Molecular Phylogenetics and Evolution","topic":"Identification and Quantification in Food","field":"Biochemistry, Genetics and Molecular Biology","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Shahrekord University; Fonds Québécois de la Recherche sur la Nature et les Technologies; Russian Foundation for Basic Research; Virginia Polytechnic Institute and State University","keywords":"Biology; Salmo; Brown trout; Phylogenetic tree; Lineage (genetic); Evolutionary biology; Zoology; Coalescent theory; Ecology; Fishery; Genetics; Fish <Actinopterygii>","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":[0.00184518,0.0005183853,0.0006519259,0.001036152,0.0008762343,0.002365529,0.0007501152,0.001681487,0.004072995],"category_scores_gemma":[0.002130732,0.0001321856,0.000236096,0.001650106,0.008357604,0.005856037,0.001022148,0.002127912,0.0008785044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007509391,"about_ca_system_score_gemma":0.0009411984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002892871,"about_ca_topic_score_gemma":0.004444563,"domain_scores_codex":[0.9995717,0.0001303206,0.00002128614,0.0001843916,0.00004742016,0.0000447594],"domain_scores_gemma":[0.9991356,0.0003175173,0.0001588691,0.00006282321,0.000177576,0.0001476798],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0008367767,0.000127936,0.1338185,0.001817683,0.0002854035,0.002279837,0.01995476,0.001343076,0.07166435,0.2811898,0.03335847,0.4533233],"study_design_scores_gemma":[0.00004551413,0.0004303078,0.2262733,0.001481538,0.0002105634,0.003335059,0.0676913,0.00121181,0.003596116,0.363876,0.3316905,0.0001579601],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2965361,0.1955758,0.0344223,0.4404533,0.007126373,0.00002664279,0.002101909,0.0002339351,0.02352365],"genre_scores_gemma":[0.8495175,0.0579142,0.01325169,0.06323502,0.007959567,0.00003656782,0.001184342,0.0001086137,0.006792558],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004072995,"threshold_uncertainty_score":0.0136255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01336284426885565,"score_gpt":0.2776155774257004,"score_spread":0.2642527331568448,"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."}}