{"id":"W2614805115","doi":"10.2307/jj.41003803.19","title":"TOWARD A COMPREHENSIVE ESTIMATE OF GLOBAL MARINE FISHERIES CATCHES","year":2016,"lang":"","type":"book-chapter","venue":"Princeton University Press eBooks","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Fishery; Marine fisheries; Fishing; Environmental science; Fisheries science; Oceanography; Geography; Fisheries management; 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":[0.001687864,0.001020087,0.0006724855,0.006911604,0.0006527303,0.002375332,0.0007492483,0.0007023243,0.005791912],"category_scores_gemma":[0.005020849,0.0008042745,0.0004084973,0.006895415,0.0005021656,0.003950781,0.001418352,0.001618467,0.002379431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001499342,"about_ca_system_score_gemma":0.002803129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08620263,"about_ca_topic_score_gemma":0.1623923,"domain_scores_codex":[0.999227,0.0001036644,0.0001123474,0.0001231067,0.0003712406,0.00006254356],"domain_scores_gemma":[0.9986369,0.0003028938,0.0001323001,0.0001640784,0.0006849187,0.00007901358],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005207902,0.0001107283,0.0783272,0.000482415,0.0003159076,0.0001637477,0.001324237,0.01106827,0.001703536,0.100642,0.2536661,0.5521438],"study_design_scores_gemma":[0.00001270266,0.00006417466,0.3189291,0.001142842,0.0001190112,0.0002049873,0.002901107,0.01075611,0.001847982,0.04621408,0.6177036,0.0001043278],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1484505,0.04860739,0.2042554,0.0221063,0.002601258,0.0003776441,0.1597651,0.002384117,0.4114522],"genre_scores_gemma":[0.4153164,0.0461611,0.3381526,0.002254711,0.0006389767,0.0007832913,0.09896517,0.0008564152,0.09687134],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08620263,"threshold_uncertainty_score":0.1714017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06420481060441206,"score_gpt":0.2325530438924578,"score_spread":0.1683482332880458,"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."}}