{"id":"W3204748361","doi":"10.1139/cjfas-2021-0097","title":"Somatic growth of Atlantic bluefin tuna (<i>Thunnus thynnus</i>) under global climate variability: evidence from over 60 years of daily resolved growth increments with a simulation study","year":2021,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tuna; North Atlantic oscillation; Environmental science; Climate change; Fishery; Climatology; Thunnus; Fish <Actinopterygii>; Biology; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007774438,0.0002060876,0.0001400161,0.0002707953,0.0001433209,0.000354023,0.00025758,0.0003179804,0.0003714945],"category_scores_gemma":[0.001457213,0.0001207394,0.0005251809,0.000331934,0.0002959108,0.0002355761,0.0002377715,0.0001807537,0.00006320671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005461544,"about_ca_system_score_gemma":0.0002595286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03048419,"about_ca_topic_score_gemma":0.02826977,"domain_scores_codex":[0.9998809,0.00004683532,0.000009486776,0.00003388518,0.00001151954,0.00001731686],"domain_scores_gemma":[0.9991748,0.0004503981,0.0001740208,0.00009203536,0.0000553633,0.00005330019],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005569333,0.0001942396,0.7118931,0.00005457841,0.0004307482,0.0002793406,0.0001223641,0.2736275,0.004460868,0.0004305868,0.0004015455,0.007548193],"study_design_scores_gemma":[0.00004430272,0.0003244238,0.6363672,0.00001120486,0.0001298327,0.0001213284,0.0001316792,0.3604172,0.0016774,0.0003364479,0.0004046699,0.0000342682],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999503,0.00002004035,0.000172775,0.000010722,0.000001032123,0.000001279731,0.0001749583,0.000004672722,0.0001115781],"genre_scores_gemma":[0.999424,0.00002004821,0.0001559579,0.000002984519,8.16509e-7,0.000002074732,0.0003414771,0.000001949016,0.00005069965],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03048419,"threshold_uncertainty_score":0.06061351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02586641368995465,"score_gpt":0.2554963306868316,"score_spread":0.2296299169968769,"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."}}