{"id":"W2966672506","doi":"10.1002/fee.2090","title":"Determining natal origin for improved management of Atlantic bluefin tuna","year":2019,"lang":"en","type":"review","venue":"Frontiers in Ecology and the Environment","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":89,"is_retracted":false,"has_abstract":true,"ca_institutions":"Acadia University; Fisheries and Oceans Canada","funders":"European Social Fund; Department of Agriculture and Fisheries, Queensland Government; Eusko Jaurlaritza; European Regional Development Fund; University of Southern Mississippi; Ministerio de Economía y Competitividad; Erzincan Üniversitesi","keywords":"Tuna; Fishery; Thunnus; Fisheries management; Population; Stock (firearms); Biology; Context (archaeology); Mediterranean sea; Stock assessment; Geography; Mediterranean climate; Fish <Actinopterygii>; Ecology; Fishing","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":[],"consensus_categories":[],"category_scores_codex":[0.000728227,0.0003325755,0.001300704,0.00008204344,0.000143817,0.000005998222,0.0004084585,0.0002397701,0.0001408195],"category_scores_gemma":[0.00001261717,0.0002334268,0.000200496,0.00007420768,0.0008654241,0.00005288436,0.0008062602,0.0002257129,0.00005843098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002136941,"about_ca_system_score_gemma":0.00000629865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008058165,"about_ca_topic_score_gemma":0.00004642234,"domain_scores_codex":[0.9982756,0.0001684652,0.0005337787,0.0005363011,0.00008416294,0.0004017083],"domain_scores_gemma":[0.9990051,0.0002467862,0.0003642751,0.0003540617,8.193443e-7,0.00002897396],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002451289,0.0003708691,0.05917419,0.01234533,0.002584392,0.00003777466,0.0003546638,0.0002058145,1.310563e-7,0.002038525,0.02278479,0.8998584],"study_design_scores_gemma":[0.002400005,0.0001589954,0.009672969,0.0004299068,0.001534272,0.000005303926,0.0001484109,0.0004144403,2.083104e-7,0.001729639,0.983153,0.000352807],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001033189,0.9842659,0.001919786,0.0002667351,0.001986994,0.006921909,0.0000401732,0.00002008824,0.003545199],"genre_scores_gemma":[0.0004906411,0.9926789,0.003685719,0.0001208481,0.00001514178,0.0008507587,0.00003174592,0.00002481945,0.002101429],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9603683,"threshold_uncertainty_score":0.951887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01482820436285302,"score_gpt":0.2401154387131406,"score_spread":0.2252872343502876,"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."}}