{"id":"W4401751995","doi":"10.1126/science.adr5487","title":"Taking stock of global fisheries","year":2024,"lang":"en","type":"letter","venue":"Science","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Fisheries and Oceans Canada","funders":"","keywords":"Stock (firearms); Stock assessment; Fishery; Environmental science; Current (fluid); Business; Oceanography; Geography; Biology; Fishing; 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":[0.006117546,0.0006362809,0.0006961039,0.0005036677,0.003831695,0.003235348,0.001441578,0.03298843,0.01101874],"category_scores_gemma":[0.02600921,0.0004739126,0.0008719309,0.0003668348,0.003576017,0.005970881,0.003162223,0.03769093,0.0112923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00278671,"about_ca_system_score_gemma":0.007407581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01627865,"about_ca_topic_score_gemma":0.03155213,"domain_scores_codex":[0.9966016,0.0005971969,0.0003150533,0.0005947257,0.001438169,0.000453224],"domain_scores_gemma":[0.9863041,0.005649116,0.000595189,0.001015602,0.00370207,0.00273399],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000403703,0.00002594967,0.0008688528,0.00002966209,0.00001875425,0.0003874021,0.00009554751,0.00005898234,0.0003335655,0.004869016,0.9665207,0.02675122],"study_design_scores_gemma":[0.00005457209,0.00004833828,0.001616215,0.000224472,0.00002312017,0.0004384393,0.0003958358,0.0003158687,0.0004187211,0.0244729,0.9719468,0.00004477071],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0004838471,0.001377586,0.0003581953,0.974665,0.01693647,0.0000114064,0.00005697821,0.00003668955,0.006073794],"genre_scores_gemma":[0.00297892,0.000542409,0.0003477781,0.9780921,0.009792946,0.00001647724,0.00002821755,0.00001826497,0.008182907],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.03298843,"threshold_uncertainty_score":0.0368613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02767462618497004,"score_gpt":0.2853156676418095,"score_spread":0.2576410414568395,"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."}}