{"id":"W1981713435","doi":"10.1371/journal.pone.0123172","title":"Intraspecific Genetic Admixture and the Morphological Diversification of an Estuarine Fish Population Complex","year":2015,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministère des Forêts, de la Faune et des Parcs; Université de Sherbrooke; Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Ministère des Forêts, de la Faune et des Parcs","keywords":"Biology; Population; Intraspecific competition; Phylogeography; Evolutionary biology; Introgression; Nuclear gene; Mitochondrial DNA; Genetic variation; Smelt; Zoology; Ecology; Genetics; Phylogenetics; Gene; Fishery","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":[0.000589126,0.0001635171,0.0002659183,0.001020678,0.0005968357,0.0006011887,0.0002833845,0.0002365989,0.0005576382],"category_scores_gemma":[0.001015729,0.0001624126,0.0001999845,0.0006140929,0.000579118,0.0002747683,0.0006877551,0.0002291942,0.00007094089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004070739,"about_ca_system_score_gemma":0.0001978166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004298094,"about_ca_topic_score_gemma":0.01028444,"domain_scores_codex":[0.9996651,0.00008175243,0.00003223044,0.00013377,0.0000566771,0.00003041282],"domain_scores_gemma":[0.9995015,0.0001127107,0.0001757046,0.0000666315,0.00006565212,0.00007778913],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002109296,0.00004942545,0.9482734,0.00002128941,0.0003349259,0.0001752219,0.001692825,0.0005817992,0.04122751,0.000188486,0.00003632515,0.007207845],"study_design_scores_gemma":[0.000003454607,0.00002611698,0.9988183,0.00000238593,0.00001695333,0.00007287884,0.0001783211,0.0005111881,0.0002588327,0.00004308697,0.0000648612,0.000003514284],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998673,0.00001326894,0.00004583024,0.000002647574,1.301984e-7,6.088881e-7,0.000006389578,6.72161e-7,0.00006318436],"genre_scores_gemma":[0.9997874,0.00001668933,0.0000852786,0.000003565577,7.313782e-7,0.000002184171,0.0000493896,0.00000112215,0.00005363042],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004298094,"threshold_uncertainty_score":0.008546174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06865418831791903,"score_gpt":0.2336932349969573,"score_spread":0.1650390466790383,"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."}}