{"id":"W2928748489","doi":"10.1016/j.fishres.2019.03.020","title":"Chromosomal inversions in the Atlantic cod genome: Implications for management of Canada’s Northern cod stock","year":2019,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; Memorial University of Newfoundland; Fisheries and Oceans Canada; University of New Brunswick","funders":"Fisheries and Oceans Canada; Research and Development Corporation of Newfoundland and Labrador; Natural Sciences and Engineering Research Council of Canada; Memorial University of Newfoundland; Canada Research Chairs","keywords":"Gadus; Atlantic cod; Panmixia; Stock (firearms); Population; Gene flow; Geography; Fishery; Bay; Biology; Oceanography; Ecology; Genetic variation; Genetics; Geology; Gene; Demography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001776504,0.00005364532,0.00006686795,0.00002834051,0.0001274357,0.00001426131,0.0003236695,0.00005210753,0.00005955873],"category_scores_gemma":[0.00001666462,0.00004485084,0.00002912212,0.0001348466,0.00005932128,0.000002300403,0.0001282804,0.00007229188,0.000003702174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002597397,"about_ca_system_score_gemma":0.0002090718,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.007949545,"about_ca_topic_score_gemma":0.1539164,"domain_scores_codex":[0.9993022,0.00005960703,0.00009957439,0.0001569001,0.0001815456,0.0002001557],"domain_scores_gemma":[0.9994751,0.00002502526,0.00002637828,0.0003104435,0.0001324379,0.00003056413],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000217566,0.00007871094,0.9038962,0.0003464225,0.0001324338,0.000003295321,0.0008610777,0.0004715841,0.03046781,0.001584054,0.0614207,0.0005202079],"study_design_scores_gemma":[0.0003724197,0.0001343463,0.7271972,0.000007392133,0.000006444304,0.000002404723,0.001641852,0.00001243916,0.0005884761,0.0001470854,0.2698171,0.00007281171],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943396,0.00005074487,0.00002556159,0.002122313,0.00003884403,0.0005786209,0.0001305401,0.000001300252,0.002712495],"genre_scores_gemma":[0.9971585,0.00003805982,0.0001501374,0.000065375,0.00002397067,0.00003201225,0.000459492,0.000005360433,0.00206709],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2083964,"threshold_uncertainty_score":0.9986566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0418969660529141,"score_gpt":0.2955884514516036,"score_spread":0.2536914853986895,"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."}}