{"id":"W4366405467","doi":"10.1111/fme.12627","title":"True insights or ticking boxes? Rapid assessment of rights‐based management in artisanal fisheries","year":2023,"lang":"en","type":"article","venue":"Fisheries Management and Ecology","topic":"Conservation, Biodiversity, and Resource Management","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Business; Corporate governance; Incentive; Fishery; Overexploitation; Transferability; Fisheries management; Community-based management; Fish stock; Environmental resource management; Enforcement; Natural resource economics; Fishing; Economics; Finance; Ecology; Microeconomics","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":[0.01722645,0.0002425358,0.0003026737,0.002879383,0.0007014725,0.003117553,0.0008423364,0.0006162963,0.009149033],"category_scores_gemma":[0.05276595,0.0001612043,0.0003379819,0.001306905,0.001664666,0.01011677,0.003732828,0.0009341537,0.0003378465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00158251,"about_ca_system_score_gemma":0.001525932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006834971,"about_ca_topic_score_gemma":0.0112962,"domain_scores_codex":[0.9929858,0.00401878,0.0004155064,0.0005066185,0.001634377,0.0004389036],"domain_scores_gemma":[0.9465881,0.02787052,0.01166696,0.005005738,0.007149706,0.001718937],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004016466,0.000318378,0.7319253,0.0004372432,0.0001510685,0.0002635074,0.005437635,0.003164442,0.002280551,0.04576681,0.003600089,0.2062532],"study_design_scores_gemma":[0.00004484611,0.0008138868,0.8197187,0.001294363,0.0001183921,0.0002339188,0.03993838,0.03984665,0.00315259,0.07051449,0.02419764,0.0001262384],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9233642,0.0006360111,0.02144633,0.004194779,0.00005874668,0.0003651849,0.0009194468,0.0001231692,0.04889205],"genre_scores_gemma":[0.9918025,0.00009143763,0.007221835,0.00008223302,0.00001009973,0.00006102752,0.0001475933,0.000006422335,0.0005769143],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01722645,"threshold_uncertainty_score":0.0911032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02015302339411797,"score_gpt":0.2237599872812975,"score_spread":0.2036069638871795,"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."}}