{"id":"W4400720392","doi":"10.1016/j.fishres.2024.107102","title":"Estimating age-at-maturity for individual Atlantic bluefin tuna (Thunnus thynnus) from back-calculated growth trajectories","year":2024,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University; University of Windsor; Fisheries and Oceans Canada","funders":"","keywords":"Thunnus; Tuna; Fishery; Scombridae; Maturity (psychological); Albacore; Biology; Geography; Fish <Actinopterygii>","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00160216,0.0003479994,0.0004040918,0.0001724979,0.0008536681,0.001100734,0.001048108,0.0002979286,0.03751155],"category_scores_gemma":[0.001161191,0.0003081543,0.0001861429,0.001279182,0.001258278,0.0007172622,0.001949661,0.001065825,0.001383036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004756791,"about_ca_system_score_gemma":0.0001061928,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01248776,"about_ca_topic_score_gemma":0.002819056,"domain_scores_codex":[0.9947999,0.0003662777,0.0004847275,0.001062252,0.001869136,0.001417677],"domain_scores_gemma":[0.9974412,0.001469495,0.00004197205,0.0006020138,0.0000955477,0.0003497518],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000988883,0.0003781444,0.4188143,0.001449076,0.0004684487,0.0009941382,0.01069679,0.00006314593,0.005607883,0.001258034,0.4948498,0.06443141],"study_design_scores_gemma":[0.001231827,0.0008607482,0.1452546,0.0001649341,0.00006637063,0.00004526815,0.0007412594,0.03097351,0.003202861,0.01647336,0.7997678,0.001217404],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8748152,0.0001498802,0.0004633218,0.00196485,0.0006141356,0.001330069,0.0004043304,0.0002972905,0.1199609],"genre_scores_gemma":[0.9470195,0.0001499291,0.01455027,0.0001607348,0.00100425,0.0006783653,0.001574419,0.0002087057,0.03465389],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3049181,"threshold_uncertainty_score":0.9999371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06590527455929641,"score_gpt":0.3210236849094904,"score_spread":0.255118410350194,"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."}}