{"id":"W3124807647","doi":"10.2139/ssrn.1115731","title":"Stability and Success of Regional Fisheries Management Organizations","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Fisheries management; Business; Fishery; Fisheries science; Fishing","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":[0.003685951,0.0001207804,0.0002376724,0.001581675,0.001106207,0.00239412,0.0006189791,0.0006794092,0.004961654],"category_scores_gemma":[0.03122577,0.0001570725,0.0001867754,0.001212474,0.001470796,0.001790222,0.001482387,0.0006150121,0.0008768777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001098134,"about_ca_system_score_gemma":0.001085806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009497916,"about_ca_topic_score_gemma":0.01015138,"domain_scores_codex":[0.9987925,0.0004139374,0.00008304763,0.0001779336,0.0001946769,0.0003379222],"domain_scores_gemma":[0.9649822,0.01073001,0.01167554,0.001998262,0.005611956,0.005001994],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005788782,0.0001883595,0.9773166,0.00001629585,0.0001096101,0.00009053183,0.002911172,0.001766857,0.0005487037,0.004285411,0.0008030224,0.01138465],"study_design_scores_gemma":[0.00002832895,0.0002504167,0.9863685,0.0000185489,0.000037088,0.00006378021,0.007117657,0.002309408,0.0002613078,0.002627137,0.0009050919,0.00001287269],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966682,0.00007346978,0.00007544533,0.0002289093,0.000003138696,0.000003034387,0.00005222931,0.000002811792,0.002892826],"genre_scores_gemma":[0.9996111,0.00001868042,0.0000188427,0.000008145242,0.000004314591,0.000001833458,0.00004955379,0.000001225564,0.0002863705],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009497916,"threshold_uncertainty_score":0.0194934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01214455384241466,"score_gpt":0.2203827532415341,"score_spread":0.2082381993991194,"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."}}