{"id":"W2773277936","doi":"10.1016/j.ecolind.2017.12.026","title":"What counts in making marine protected areas (MPAs) count? The role of legitimacy in MPA success in Canada","year":2017,"lang":"en","type":"article","venue":"Ecological Indicators","topic":"Coral and Marine Ecosystems Studies","field":"Environmental Science","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Legitimacy; Stakeholder; Marine protected area; Business; Perception; Key (lock); Environmental resource management; Public relations; Politics; Political science; Ecology; Habitat; Psychology; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.003245777,0.0001497497,0.0002563924,0.001522553,0.007603347,0.003823826,0.0009031928,0.0004297491,0.001931542],"category_scores_gemma":[0.01805459,0.000192047,0.0001711843,0.002392625,0.004238607,0.001402945,0.002663097,0.001292918,0.00006742943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05865854,"about_ca_system_score_gemma":0.07802992,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9908026,"about_ca_topic_score_gemma":0.9977583,"domain_scores_codex":[0.9968821,0.0004937529,0.0001216049,0.0002076341,0.001554432,0.0007406325],"domain_scores_gemma":[0.9870342,0.002921543,0.00168719,0.0002469877,0.004445009,0.003665173],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008933016,0.0000951526,0.8253674,0.0001778946,0.00007003398,0.0004730072,0.06415336,0.0007132543,0.0007397454,0.01310661,0.00740118,0.087613],"study_design_scores_gemma":[0.000007681507,0.00003311243,0.8929263,0.0001606594,0.00003308617,0.00007469234,0.08936077,0.0009701329,0.0002610358,0.001394759,0.01473479,0.00004304144],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9685971,0.000584302,0.0003603135,0.006140932,0.00002708631,0.00005001654,0.0001778691,0.00001134694,0.0240509],"genre_scores_gemma":[0.9981925,0.0003238514,0.0002650407,0.0001214484,0.000003442688,0.000005125145,0.00003440953,0.000002667058,0.00105145],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05865854,"threshold_uncertainty_score":0.4255995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009714628957529862,"score_gpt":0.2308583744006571,"score_spread":0.2211437454431272,"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."}}