{"id":"W2612718398","doi":"10.1080/08941920.2017.1315654","title":"A Social–Ecological Systems Approach to Assessing Conservation and Fisheries Outcomes in Fijian Locally Managed Marine Areas","year":2017,"lang":"en","type":"article","venue":"Society & Natural Resources","topic":"Coral and Marine Ecosystems Studies","field":"Environmental Science","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; University of Waterloo","funders":"","keywords":"Incentive; Environmental resource management; Business; Biodiversity; Resource (disambiguation); Enforcement; Biomass (ecology); Marine protected area; Fishery; Marine conservation; Resource management (computing); Fisheries management; Natural resource economics; Geography; Environmental planning; Ecology; Habitat; Environmental science; Fishing; 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":[0.005850956,0.00053205,0.0004118287,0.005660821,0.001730706,0.001810031,0.001052504,0.0006314712,0.002464924],"category_scores_gemma":[0.00721916,0.0002577905,0.0008049756,0.003484764,0.002061311,0.001546826,0.002838277,0.000709408,0.000075087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004954578,"about_ca_system_score_gemma":0.002222984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03209721,"about_ca_topic_score_gemma":0.06857789,"domain_scores_codex":[0.9968123,0.00214687,0.0001898564,0.0002685293,0.0002855113,0.0002968264],"domain_scores_gemma":[0.9959817,0.001671634,0.001325255,0.0001970057,0.000362048,0.0004624186],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001319491,0.0008527169,0.9554693,0.0002631923,0.0008653977,0.0001926933,0.005521221,0.005173788,0.0005028713,0.00286168,0.0003875175,0.02777772],"study_design_scores_gemma":[0.00002351766,0.0006741396,0.9696305,0.00007236836,0.000176137,0.00004561091,0.009446777,0.01621456,0.0001876262,0.002448718,0.001052117,0.00002798349],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949738,0.0001150556,0.001697717,0.0002182427,0.000006078008,0.0003777101,0.0003068493,0.000009567731,0.002295132],"genre_scores_gemma":[0.9957624,0.00005755614,0.003224038,0.00004117497,0.000005253374,0.0005014734,0.0001779107,0.0000017054,0.0002284972],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03209721,"threshold_uncertainty_score":0.06382078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02217140840452949,"score_gpt":0.253733646129051,"score_spread":0.2315622377245215,"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."}}