{"id":"W3132374170","doi":"10.1098/rspb.2020.2398","title":"Functional genetic diversity in an exploited marine species and its relevance to fisheries management","year":2021,"lang":"en","type":"article","venue":"Proceedings of the Royal Society B Biological Sciences","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":79,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; University of British Columbia; Simon Fraser University; Fisheries and Oceans Canada","funders":"Fisheries and Oceans Canada; Natural Sciences and Engineering Research Council of Canada; Hakai Institute; Washington Sea Grant, University of Washington; California Department of Fish and Wildlife; National Oceanic and Atmospheric Administration; Simon Fraser University; Washington Department of Fish and Wildlife","keywords":"Relevance (law); Genetic diversity; Fisheries management; Diversity (politics); Fishery; Fisheries science; Biology; Marine species; Evolutionary biology; Marine reserve; Ecology; Geography; Fish <Actinopterygii>; Environmental resource management; Fishing; Political science; Sociology; Economics","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":[0.0003830735,0.0001460998,0.0001731506,0.001253296,0.0003380234,0.0003798704,0.0001581487,0.0002330367,0.0009809471],"category_scores_gemma":[0.0008479446,0.00009000686,0.0001472369,0.00100477,0.0004323884,0.0002695138,0.0003535356,0.0001759882,0.00009288764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002475553,"about_ca_system_score_gemma":0.0001691428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002918854,"about_ca_topic_score_gemma":0.005187395,"domain_scores_codex":[0.9997873,0.00006030669,0.00001706947,0.00007603846,0.00002924008,0.00003012083],"domain_scores_gemma":[0.999545,0.000119173,0.0001839691,0.0000313328,0.00004603081,0.00007443361],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000802131,0.00003644824,0.9568919,0.00003674364,0.0001704822,0.0001821681,0.0005855275,0.0003290393,0.02523203,0.0003642706,0.00006649709,0.01602465],"study_design_scores_gemma":[0.000001079136,0.00003202388,0.9991038,0.000003325017,0.00001031025,0.00009969962,0.0002217775,0.0001853342,0.0001030684,0.0001378212,0.00009845966,0.000003146988],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992276,0.0001429235,0.0001672523,0.00002226187,0.000001474363,0.000001516668,0.00006927871,0.000001898077,0.0003658269],"genre_scores_gemma":[0.9996592,0.00005631314,0.0001382167,0.000007556058,0.000002707812,0.000001729997,0.00007356732,6.736908e-7,0.00006004727],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002918854,"threshold_uncertainty_score":0.005803704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04147230642826637,"score_gpt":0.2277113746534451,"score_spread":0.1862390682251787,"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."}}