{"id":"W4395082769","doi":"10.12688/openreseurope.17365.1","title":"Atlantic mackerel population structure does not support genetically distinct spawning components","year":2024,"lang":"en","type":"article","venue":"Open Research Europe","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"Instituto de Salud Carlos III; National Oceanic and Atmospheric Administration; Ministerio de Ciencia e Innovación; Horizon 2020 Framework Programme; Eusko Jaurlaritza; Generalitat de Catalunya; European Commission; Centre for Environment, Fisheries and Aquaculture Science","keywords":"Fishery; Population structure; Mackerel; Population; Biology; 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":[0.0004318758,0.0002636779,0.0002951563,0.001083734,0.0007861793,0.0005747026,0.0004029872,0.0003206136,0.002934009],"category_scores_gemma":[0.0008815267,0.0001532668,0.0003692628,0.0005198494,0.0006189455,0.0002828618,0.0005799784,0.0003974858,0.0003058798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000498833,"about_ca_system_score_gemma":0.0003284609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002488476,"about_ca_topic_score_gemma":0.009288882,"domain_scores_codex":[0.999463,0.00006346021,0.00004646378,0.0003052581,0.00006708636,0.00005470727],"domain_scores_gemma":[0.9992734,0.0001523226,0.000269265,0.0001051627,0.00009579884,0.00010412],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009193651,0.0001221058,0.7920977,0.0001432283,0.0005970409,0.0003283003,0.001619202,0.0006477604,0.1841828,0.0009433779,0.0004585457,0.01794056],"study_design_scores_gemma":[0.00002308216,0.0001197,0.9958755,0.00001858223,0.0001251299,0.0002424127,0.0002992044,0.0007234621,0.001212945,0.0002631847,0.00108236,0.00001440826],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985473,0.00006187213,0.0003690149,0.00002249513,0.000004300904,0.000004540404,0.0002156456,0.00001195147,0.0007628824],"genre_scores_gemma":[0.998914,0.00001965515,0.00035847,0.00002575847,0.000003767931,0.00001081523,0.0004721857,0.000008775419,0.0001865053],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002934009,"threshold_uncertainty_score":0.009815216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0659673614381382,"score_gpt":0.3579637641091971,"score_spread":0.2919964026710589,"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."}}