{"id":"W2312353973","doi":"10.3354/meps11049","title":"Trends in global shared fisheries","year":2014,"lang":"en","type":"article","venue":"Marine Ecology Progress Series","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Fishery; Fisheries management; Fishing; Geography; Fisheries law; Fisheries science; Fish stock; Equity (law); Business; Political science; Biology","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":[0.0005462325,0.0002163758,0.0002084362,0.001871873,0.0002212898,0.0008004351,0.0002694432,0.0002955928,0.004940388],"category_scores_gemma":[0.002184323,0.0001091646,0.0004952973,0.00357687,0.0003622558,0.001448212,0.0009999884,0.0005230712,0.0004061724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004784886,"about_ca_system_score_gemma":0.0004801244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007872133,"about_ca_topic_score_gemma":0.01350426,"domain_scores_codex":[0.9996756,0.0000252338,0.00004334128,0.000133385,0.00005630161,0.00006608031],"domain_scores_gemma":[0.9979425,0.0002318268,0.0008897948,0.0001564454,0.0005785589,0.0002007911],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007535635,0.00001342283,0.9375014,0.0003062998,0.0002065332,0.0001435092,0.0008615927,0.0007055952,0.001153522,0.003305657,0.003980939,0.05174619],"study_design_scores_gemma":[0.000002360051,0.00003776277,0.9881347,0.00005012094,0.00003918551,0.0003427455,0.0006593905,0.0002866429,0.0001643442,0.0003618267,0.009912909,0.000007936246],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.960762,0.006446975,0.001482644,0.001918557,0.0001149332,0.0000159435,0.01046421,0.0001519373,0.01864281],"genre_scores_gemma":[0.9889615,0.00241232,0.001130056,0.0002582557,0.00005649234,0.00001581941,0.005221163,0.00002207399,0.001922259],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007872133,"threshold_uncertainty_score":0.01652724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01017722988135617,"score_gpt":0.2511801866833877,"score_spread":0.2410029568020315,"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."}}