{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002528263,0.0001790412,0.0002508216,0.00005942204,0.0001166931,0.00007723612,0.0003976742,0.0001293168,0.05395673],"category_scores_gemma":[0.00008043109,0.0001669545,0.00004815557,0.0005610762,0.0007728184,0.0004383781,0.001493363,0.0001720321,0.0001966065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001502307,"about_ca_system_score_gemma":0.000009300599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005706078,"about_ca_topic_score_gemma":0.01230794,"domain_scores_codex":[0.9984654,0.0001222524,0.0002389776,0.0003994467,0.0002066062,0.0005673834],"domain_scores_gemma":[0.9994877,0.00002975283,0.00005294911,0.0003162464,0.00001005177,0.0001032828],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008998308,0.00006992864,0.7886544,0.000006802767,0.000005650062,0.0000243213,0.00004691911,0.000003622784,0.000001445727,0.0004168472,0.005191747,0.2054883],"study_design_scores_gemma":[0.0002994781,0.0002656598,0.7558246,7.756509e-7,0.000002482895,0.00002358807,0.00002435889,0.0001709195,0.000009694595,0.001565637,0.2416748,0.0001380108],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4340985,0.000003504252,0.000001195365,0.004593486,0.0001682287,0.0001408712,0.000006200256,0.00009398825,0.5608941],"genre_scores_gemma":[0.9701511,0.00001458069,0.002194727,0.0003007113,0.00007918174,0.0002214574,0.00009023979,0.0000192031,0.02692884],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5360526,"threshold_uncertainty_score":0.9469081,"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."}}