{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001150925,0.00006806491,0.00007326333,0.000007538365,0.0002521548,0.00002730387,0.0002148637,0.00006534543,0.00006444017],"category_scores_gemma":[0.00004907673,0.0000461839,0.00004869554,0.0001929197,0.0001788603,0.000006484665,0.001243886,0.00004051625,5.891308e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006861743,"about_ca_system_score_gemma":0.000006678132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009364056,"about_ca_topic_score_gemma":0.000006779674,"domain_scores_codex":[0.9993735,0.00000844144,0.00008266104,0.0002722806,0.000140543,0.0001225898],"domain_scores_gemma":[0.9997953,0.000005653562,0.00003954657,0.0000368431,0.00008081679,0.00004187037],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002091391,0.00002199451,0.9658392,0.00001333761,0.000009296417,1.814193e-7,0.0001443455,0.0001294202,0.03217769,0.0005161306,0.0006733307,0.0004541278],"study_design_scores_gemma":[0.0001099934,0.00010635,0.9843921,0.000005866227,0.00000487481,0.000001103117,0.001288832,0.00008577073,0.01245128,0.0005585908,0.0009213954,0.00007383231],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981867,0.00009011543,0.00001517301,0.0003847046,0.00005472198,0.00008099144,0.000005703146,0.000004132093,0.001177761],"genre_scores_gemma":[0.9959494,0.0001490981,0.002686988,0.0003325631,0.00003377589,0.000002290638,0.000003856754,0.000001110342,0.0008409052],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01972641,"threshold_uncertainty_score":0.1939396,"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."}}