{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001876828,0.0002566668,0.0001873073,0.00009246431,0.0002218525,0.0001118693,0.0001733648,0.0002319132,0.0000396395],"category_scores_gemma":[0.0001692891,0.0002555705,0.0001044519,0.0001939771,0.0001225677,0.000007150596,0.00008452925,0.0001260763,0.00003161359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009219252,"about_ca_system_score_gemma":0.0001501077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000264175,"about_ca_topic_score_gemma":0.00008005753,"domain_scores_codex":[0.9981198,0.0002560685,0.0003069505,0.0008058519,0.0002231059,0.0002882227],"domain_scores_gemma":[0.9985752,0.00001373797,0.0001244937,0.000721945,0.0003949387,0.0001696843],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001470014,0.000239565,0.001468607,0.00001417898,0.00006862625,0.00001588964,0.00009193455,0.0002931888,0.9707556,0.02580865,0.0002418779,0.0008549028],"study_design_scores_gemma":[0.001336551,0.001182083,0.1226005,0.00004351787,0.0001070629,0.0001970094,0.0007766121,0.0009620126,0.8625597,0.001594813,0.007946612,0.0006935009],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9867738,0.002303673,0.008580542,0.0005973542,0.0002951566,0.0002529232,0.00004445399,0.00003194177,0.001120094],"genre_scores_gemma":[0.995836,0.0003774128,0.001095393,0.0004555745,0.000223269,0.00004335529,0.0003556766,0.00004733417,0.001566042],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1211319,"threshold_uncertainty_score":0.9999896,"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."}}