{"id":"W2257255521","doi":"10.1111/mec.13560","title":"Red and white Chinook salmon: genetic divergence and mate choice","year":2016,"lang":"en","type":"article","venue":"Molecular Ecology","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; University of Windsor","funders":"Fisheries and Oceans Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Biology; Chinook wind; White (mutation); Evolutionary biology; Genetic divergence; Mate choice; Zoology; Ecology; Fishery; Genetics; Genetic diversity; Fish <Actinopterygii>; Oncorhynchus; Mating; Demography; Population; Gene","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":[0.0003780257,0.00009274258,0.0001483315,0.0002635706,0.0002509407,0.0002810658,0.0001564798,0.0002271754,0.001383011],"category_scores_gemma":[0.0005640577,0.00009938559,0.0001626398,0.0001806395,0.0003437438,0.0001840418,0.0003152229,0.0002382544,0.0001048941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001641366,"about_ca_system_score_gemma":0.0001718137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004827298,"about_ca_topic_score_gemma":0.01813992,"domain_scores_codex":[0.9998488,0.00004552064,0.000008493615,0.00004656282,0.0000272325,0.0000233733],"domain_scores_gemma":[0.9996914,0.0000716313,0.00008758665,0.00002044381,0.00002393915,0.0001050394],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003145687,0.0001069805,0.9745072,0.0000112546,0.00009403596,0.0001428344,0.0008072092,0.00006017905,0.02021543,0.0001074808,0.00007500605,0.003557847],"study_design_scores_gemma":[0.000004455728,0.00005580818,0.9992607,0.000001320153,0.000007406229,0.00007608123,0.0002577538,0.0001232711,0.0001390335,0.00003210407,0.00003867312,0.000003273244],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998771,0.00001314596,0.00001559809,0.000005756957,6.420245e-7,7.122427e-7,0.00001056001,3.313376e-7,0.00007626486],"genre_scores_gemma":[0.999721,0.000012734,0.00004706049,0.00001841384,0.000001245822,0.000002497773,0.00004480786,9.806977e-7,0.0001511975],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004827298,"threshold_uncertainty_score":0.009598374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003416337535271159,"score_gpt":0.1844409490044526,"score_spread":0.1810246114691814,"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."}}