{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001569179,0.0000642984,0.0001272614,0.0002902137,0.00005395088,0.00007786619,0.0005069554,0.00003422317,0.00001099255],"category_scores_gemma":[0.0002987976,0.00004409198,0.00006518633,0.001293394,0.0001861811,0.0000272839,0.00005786983,0.00007478058,6.617591e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001530435,"about_ca_system_score_gemma":0.0001098141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004724388,"about_ca_topic_score_gemma":0.0001473923,"domain_scores_codex":[0.9988413,0.00008551154,0.0003939152,0.0001691692,0.000403858,0.0001061913],"domain_scores_gemma":[0.9985454,0.00001008205,0.0004855096,0.0003191638,0.0005903118,0.00004951044],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00006999739,0.00007763269,0.2189913,0.00001170284,0.00007817394,0.000001281913,0.0008481763,0.001197871,0.7729293,0.0004060352,0.0003923928,0.004996207],"study_design_scores_gemma":[0.0002632287,0.000114133,0.7728106,0.000006697948,0.0001266461,0.00003724898,0.000766149,0.0002327684,0.2187124,0.0002562942,0.00657074,0.0001030567],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986923,0.0001629959,0.00006749436,0.0003405719,0.0002326423,0.00006217658,0.00001110195,0.000001120206,0.0004296484],"genre_scores_gemma":[0.9991071,0.00004293689,0.0006027848,0.00003931944,0.00006603973,6.500733e-7,0.00005189541,0.000002828679,0.00008642344],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5542169,"threshold_uncertainty_score":0.1798019,"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."}}