{"id":"W4406621179","doi":"10.12688/openreseurope.17365.2","title":"Atlantic mackerel population structure does not support genetically distinct spawning components","year":2025,"lang":"en","type":"article","venue":"Open Research Europe","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"Horizon 2020 Framework Programme; Ministerio de Ciencia e Innovación","keywords":"Fishery; Population structure; Population; Mackerel; Biology; Geography; Fish <Actinopterygii>; Demography; Sociology","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":[0.0003555935,0.000310641,0.000296583,0.0008436567,0.0006569351,0.0005017665,0.0004002929,0.0003531957,0.003243613],"category_scores_gemma":[0.0007565467,0.0001536683,0.0005776418,0.000552016,0.0004949112,0.000222574,0.0005403048,0.0004047278,0.000470898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004915529,"about_ca_system_score_gemma":0.0003923824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006547411,"about_ca_topic_score_gemma":0.01956822,"domain_scores_codex":[0.9995783,0.00004006712,0.00003426394,0.0002378384,0.00005403851,0.00005550845],"domain_scores_gemma":[0.9995265,0.00009704866,0.0001666121,0.00007010074,0.00007206022,0.00006775347],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001252062,0.00009272458,0.6781871,0.0002567051,0.0007671919,0.0006902133,0.001291858,0.001067627,0.2898005,0.001073299,0.001650034,0.02387064],"study_design_scores_gemma":[0.00002779968,0.00007926926,0.9941751,0.0000264287,0.0001280956,0.0002440981,0.0002561148,0.0009112684,0.001569677,0.0002501058,0.002316967,0.00001503781],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966984,0.00009035291,0.0006493069,0.00005339369,0.000008794015,0.000006599925,0.0009761642,0.00003412302,0.001482648],"genre_scores_gemma":[0.9969438,0.00003451988,0.0005691706,0.00007033585,0.000005624644,0.00001544919,0.002042094,0.00003040738,0.0002887143],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006547411,"threshold_uncertainty_score":0.01301861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04577325219202562,"score_gpt":0.3564939558337427,"score_spread":0.3107207036417171,"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."}}