{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006229951,0.0002572116,0.0002502796,0.0005320797,0.0001690366,0.001030972,0.0002930262,0.0004516676,0.002746282],"category_scores_gemma":[0.002330457,0.0001374483,0.0003072037,0.0007358547,0.0004416713,0.000942845,0.0006029127,0.0006732024,0.0007955881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005948336,"about_ca_system_score_gemma":0.0002800491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005025263,"about_ca_topic_score_gemma":0.003419613,"domain_scores_codex":[0.9998295,0.00002987204,0.00001316663,0.00004484787,0.00003730012,0.00004532177],"domain_scores_gemma":[0.9990419,0.0002229003,0.0002853127,0.0001003141,0.0002329117,0.0001165732],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009774654,0.00012405,0.8658329,0.0001594995,0.0002627421,0.0004681665,0.0005409524,0.01551089,0.009422434,0.009658095,0.00611316,0.09092972],"study_design_scores_gemma":[0.00003132204,0.000449371,0.9636911,0.00005159185,0.000096519,0.0005037727,0.000917545,0.01295091,0.00523635,0.004951652,0.0110856,0.00003433564],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864371,0.0003544151,0.001611947,0.0008074061,0.00003277574,0.000007218066,0.002211626,0.0001273563,0.008410201],"genre_scores_gemma":[0.9967358,0.0001282225,0.0004163659,0.0001157993,0.00001103281,0.00001113952,0.0005538053,0.00001486565,0.002012892],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005025263,"threshold_uncertainty_score":0.009992063,"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."}}