{"id":"W3172841520","doi":"10.1139/cjfas-2020-0336","title":"Individual assignment of Atlantic bluefin tuna in the northwestern Atlantic Ocean using single nucleotide polymorphisms reveals an increasing proportion of migrants from the eastern Atlantic Ocean","year":2021,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bedford Institute of Oceanography; Fisheries and Oceans Canada; Saint Mary's University; University of New Brunswick","funders":"Fisheries and Oceans Canada; Natural Sciences and Engineering Research Council of Canada; National Oceanic and Atmospheric Administration","keywords":"Fishery; Tuna; Bay; Thunnus; Stock (firearms); Atlantic cod; Mediterranean sea; Stock assessment; Mediterranean climate; Oceanography; Geography; Population; Habitat; Biology; Ecology; Fish <Actinopterygii>; Demography; Fishing; Geology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.0003621104,0.000107409,0.0001179834,0.0005985461,0.0002796252,0.0002646619,0.0001419604,0.0001670247,0.0005891923],"category_scores_gemma":[0.0007023176,0.000092351,0.0001127457,0.0004179239,0.0001979825,0.000130475,0.0002000768,0.0001622955,0.0001167195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003636476,"about_ca_system_score_gemma":0.0002897056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0845778,"about_ca_topic_score_gemma":0.2822012,"domain_scores_codex":[0.9997929,0.00002813431,0.00001843602,0.00007806453,0.00004569394,0.00003687226],"domain_scores_gemma":[0.9995456,0.00005651909,0.0002123353,0.00003036143,0.00008776058,0.00006725147],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002387231,0.000005918206,0.9950954,0.000002157744,0.00001571652,0.00001001273,0.0001029612,0.0000240858,0.002532197,0.000004675926,0.00003029721,0.002152777],"study_design_scores_gemma":[5.681079e-7,0.000006427847,0.9997382,9.826355e-7,0.000002608331,0.00001223004,0.00006870692,0.00005480374,0.00007150456,0.000002481727,0.00004072105,6.703901e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997471,0.00002703863,0.00004043042,0.000007471042,9.251801e-7,0.00000102583,0.00008203727,0.0000010185,0.0000927915],"genre_scores_gemma":[0.9993274,0.0000290561,0.0001609671,0.00001621328,0.000001373005,0.000002771459,0.000208447,9.38286e-7,0.0002527723],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0845778,"threshold_uncertainty_score":0.168171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04108858775809777,"score_gpt":0.2407903744556923,"score_spread":0.1997017866975945,"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."}}