{"id":"W2284340270","doi":"10.1093/icesjms/fsv146","title":"Microsatellite DNA analysis of Pacific hake Merluccius productus population structure in the Salish Sea","year":2015,"lang":"en","type":"article","venue":"ICES Journal of Marine Science","topic":"Identification and Quantification in Food","field":"Biochemistry, Genetics and Molecular Biology","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Northwest Fisheries Science Center; Fisheries and Oceans Canada; National Oceanic and Atmospheric Administration; Secretaría de Agricultura, Ganadería, Desarrollo Rural, Pesca y Alimentación; Instituto Nacional de Pesca y Acuacultura; Consejo Nacional de Ciencia y Tecnología; Washington Department of Fish and Wildlife; National Marine Fisheries Service; California Department of Fish and Wildlife; University of Washington","keywords":"Hake; Fishery; Population; Bay; Geography; Merluccius; Microsatellite; Oceanography; Biology; Archaeology; Demography; Geology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001308918,0.0001337879,0.0001054627,0.000718281,0.0002008075,0.0001834841,0.0001042964,0.00009486666,0.0004051763],"category_scores_gemma":[0.000322729,0.00007713934,0.00009479388,0.0004805512,0.0001650722,0.00009762422,0.0001868647,0.00009480607,0.00007435267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002097845,"about_ca_system_score_gemma":0.0001742429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01976553,"about_ca_topic_score_gemma":0.03134739,"domain_scores_codex":[0.9999408,0.000006169341,0.00000573129,0.00002224926,0.00001693142,0.000008205648],"domain_scores_gemma":[0.9997897,0.00001954442,0.00008879144,0.000009332024,0.00005365981,0.0000390539],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001093986,0.00001384697,0.9613687,0.0000155293,0.00003866945,0.000103716,0.0004884646,0.0001694619,0.03277718,0.00002454452,0.00004608677,0.004844425],"study_design_scores_gemma":[0.000002218736,0.00003753867,0.9992135,0.000001521678,0.000005093133,0.00004072251,0.0001416354,0.0001071494,0.0003581137,0.00000432604,0.00008699291,0.000001217812],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997985,0.00001312841,0.0000450625,0.000001692486,3.140198e-7,0.00000139213,0.00005218277,0.000001339714,0.00008646792],"genre_scores_gemma":[0.9993501,0.0000174526,0.0001813794,0.000003758072,8.21466e-7,0.000003842421,0.0003213502,7.287502e-7,0.0001205228],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01976553,"threshold_uncertainty_score":0.03930098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02011084222391822,"score_gpt":0.2910430680835158,"score_spread":0.2709322258595976,"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."}}