{"id":"W2054534384","doi":"10.1111/j.1467-2979.2012.00483.x","title":"Global marine yield halved as fishing intensity redoubles","year":2012,"lang":"en","type":"article","venue":"Fish and Fisheries","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":270,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"University of British Columbia","keywords":"Fishing; Fishery; Fish stock; Marine fisheries; Stock assessment; Stock (firearms); Geography; Marine reserve; Fisheries management; Marine ecosystem; Fisheries science; Ecosystem; Ecology; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002253382,0.0001672627,0.000192699,0.00001396967,0.0002302598,0.0001593436,0.0002008548,0.000109572,0.02288951],"category_scores_gemma":[0.0002402192,0.0001512317,0.00004974538,0.0002025642,0.0003479376,0.0008650758,0.001088742,0.000166309,0.0001080402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006764734,"about_ca_system_score_gemma":0.000008525047,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007455623,"about_ca_topic_score_gemma":0.003032785,"domain_scores_codex":[0.9987155,0.00002535271,0.0001706222,0.0002596422,0.0002838479,0.0005450581],"domain_scores_gemma":[0.9993649,0.00004398632,0.00004102029,0.0002499674,0.00001438714,0.0002857921],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007766514,0.00003589132,0.8665258,0.0000105018,0.00001042332,0.000007738384,0.0002161397,2.172797e-7,0.00002231352,0.00009782974,0.1059183,0.02707724],"study_design_scores_gemma":[0.0001179453,0.00006116459,0.5882739,0.000002877019,0.000006346019,0.00004186018,0.0002442048,0.00002367834,0.00006316278,0.0005704692,0.4104389,0.0001554578],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4765518,0.000006277852,0.0000174737,0.002506213,0.0001423467,0.00008666882,0.000009779636,0.00005071838,0.5206287],"genre_scores_gemma":[0.9857178,0.0001146183,0.0007675366,0.002797361,0.0001346919,0.00001914156,0.00003270684,0.00001458467,0.01040157],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5102271,"threshold_uncertainty_score":0.9991538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02299577057512401,"score_gpt":0.2368573952148812,"score_spread":0.2138616246397572,"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."}}