{"id":"W2546817479","doi":"10.1111/faf.12192","title":"A typology of fisheries management tools: using experience to catalyse greater success","year":2016,"lang":"en","type":"article","venue":"Fish and Fisheries","topic":"Coral and Marine Ecosystems Studies","field":"Environmental Science","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Norges Forskningsråd; European Commission; Rockefeller Foundation","keywords":"Fishing; Fisheries management; Business; Scale (ratio); Environmental resource management; Livelihood; Typology; Fishery; Corporate governance; Affect (linguistics); Geography; Economics; 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":[0.02914947,0.0007552958,0.0005418505,0.01248879,0.002330172,0.0100029,0.001614572,0.001866065,0.002700665],"category_scores_gemma":[0.05537549,0.0004948244,0.0006811799,0.006170741,0.006171588,0.01324906,0.009428738,0.001205449,0.0002741764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003972079,"about_ca_system_score_gemma":0.002729787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002038288,"about_ca_topic_score_gemma":0.003814583,"domain_scores_codex":[0.9626226,0.02442032,0.003789773,0.001773442,0.005919018,0.001474975],"domain_scores_gemma":[0.9121367,0.06419485,0.009344322,0.004686236,0.007630891,0.002006968],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00009863311,0.0001814516,0.1119393,0.003640089,0.0001736339,0.003254958,0.6425726,0.0008940944,0.003641377,0.03605387,0.002856575,0.1946933],"study_design_scores_gemma":[0.00002907247,0.0003766849,0.07318273,0.009068385,0.0001435059,0.002918495,0.7835777,0.002748335,0.002104217,0.02562817,0.100051,0.0001717208],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8886557,0.005735059,0.02138429,0.003722671,0.0001510075,0.0005353072,0.0001460092,0.0000804947,0.07958942],"genre_scores_gemma":[0.9778631,0.002467884,0.01723761,0.0003462206,0.00003659684,0.0002776432,0.00009469604,0.00004137548,0.001634899],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02914947,"threshold_uncertainty_score":0.154159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03163554209445756,"score_gpt":0.2327992248031692,"score_spread":0.2011636827087116,"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."}}