{"id":"W4391606338","doi":"10.1002/nafm.10969","title":"Population genomics of coastal Pacific Hake","year":2024,"lang":"en","type":"article","venue":"North American Journal of Fisheries Management","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"Northwest Fisheries Science Center; National Marine Fisheries Service; Office of Science","keywords":"Hake; Fishery; Stock (firearms); Geography; Population; Genetic structure; Stock assessment; Fisheries management; Ecology; Biology; Genetic variation; Fishing; Demography; Fish <Actinopterygii>","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001451725,0.0001382645,0.0001064713,0.0006243084,0.0004032973,0.0003741998,0.0001313279,0.0001820893,0.00117488],"category_scores_gemma":[0.0002982264,0.00007478059,0.0001050266,0.0005644931,0.0001460665,0.0001290844,0.0002347848,0.0002284198,0.0001334638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000408711,"about_ca_system_score_gemma":0.0003902161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03331348,"about_ca_topic_score_gemma":0.06052877,"domain_scores_codex":[0.9999328,0.00000623742,0.000002588268,0.00003370612,0.00001315806,0.00001154828],"domain_scores_gemma":[0.9998513,0.0000231575,0.00004565362,0.00001003454,0.00004879037,0.00002104526],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002110339,0.00007149878,0.7988493,0.00008616507,0.000204282,0.0003297801,0.001526628,0.001926264,0.1506656,0.00101024,0.0007259966,0.04439316],"study_design_scores_gemma":[0.000001871804,0.00002067969,0.9973053,0.000006293881,0.00001140051,0.00006566323,0.0003029218,0.0006108867,0.0007881444,0.0001431871,0.0007401158,0.000003621746],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970246,0.00009194125,0.0008156251,0.00002759077,0.000002002977,0.000007637641,0.0005235546,0.000006742728,0.001500294],"genre_scores_gemma":[0.9957985,0.0001527969,0.001099615,0.00003523253,0.000002819748,0.00002601622,0.001172614,0.000005613004,0.001706798],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03331348,"threshold_uncertainty_score":0.06623918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006241441057966951,"score_gpt":0.2032378559963718,"score_spread":0.1969964149384048,"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."}}