{"id":"W2005587094","doi":"10.1038/nature03463","title":"Electronic tagging and population structure of Atlantic bluefin tuna","year":2005,"lang":"en","type":"article","venue":"Nature","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":777,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Tuna; Pelagic zone; Fishery; Foraging; Mediterranean sea; Scombridae; Population; Geography; Mediterranean climate; Oceanography; Habitat; Fish <Actinopterygii>; Ecology; Biology; Geology","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":[0.0007668293,0.0001409152,0.0001012507,0.0005625683,0.0003420004,0.0005192145,0.0004580434,0.0003766354,0.001629357],"category_scores_gemma":[0.002874638,0.0002002522,0.0001196679,0.0006225559,0.0005367693,0.000545494,0.0003893363,0.0002480969,0.0002670586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005481468,"about_ca_system_score_gemma":0.0002569212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03766472,"about_ca_topic_score_gemma":0.08286198,"domain_scores_codex":[0.9997296,0.00007930276,0.00001648815,0.00007816269,0.00003646732,0.00006004457],"domain_scores_gemma":[0.9972487,0.0007400318,0.0010899,0.0002698643,0.0003652289,0.0002862659],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009264622,0.00004008253,0.9961269,0.000002063084,0.00003780906,0.00003715352,0.0002360456,0.0001954213,0.0006625616,0.00005946953,0.00006696582,0.002442859],"study_design_scores_gemma":[0.000003403865,0.0000256482,0.9990193,0.000002403198,0.000007835592,0.00003892398,0.0002145238,0.0005016738,0.0000657382,0.00004692124,0.00007162705,0.000002174096],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997242,0.00001624729,0.00003330287,0.00001921814,0.000001639116,4.19899e-7,0.00003218252,6.761123e-7,0.0001720624],"genre_scores_gemma":[0.999273,0.00001644222,0.0000390666,0.00001535999,0.000002332926,0.000001140373,0.00009176631,0.000001141572,0.000559788],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03766472,"threshold_uncertainty_score":0.07489097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002816240585116997,"score_gpt":0.2270041303677171,"score_spread":0.2241878897826001,"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."}}