{"id":"W4392840640","doi":"10.21203/rs.3.rs-3848635/v1","title":"Environmental Conservation and Social Equality: Distributional Impacts of Marine Protected Areas in Eastern Indonesia","year":2024,"lang":"en","type":"preprint","venue":"Research Square","topic":"Conservation, Biodiversity, and Resource Management","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Universitas Pattimura; Walton Family Foundation; World Wildlife Fund","keywords":"Marine protected area; Marine conservation; Geography; Environmental planning; Environmental resource management; Natural resource economics; Political science; Economics; Ecology; 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":[0.0005002298,0.0001509089,0.0002275123,0.0005981417,0.0007049748,0.001716321,0.0003279921,0.0002532211,0.006576774],"category_scores_gemma":[0.002059175,0.0000854408,0.0001622451,0.00119933,0.001077772,0.001469177,0.00251591,0.0006497688,0.0001677317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00167595,"about_ca_system_score_gemma":0.0009877143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03193262,"about_ca_topic_score_gemma":0.06621534,"domain_scores_codex":[0.9996015,0.0001282338,0.00001949588,0.00004099931,0.00007911782,0.0001305874],"domain_scores_gemma":[0.9992251,0.0002407656,0.0002186083,0.00002884593,0.0001031835,0.0001835504],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006211002,0.0004113471,0.8116037,0.0002409932,0.0002064219,0.001830323,0.004083728,0.0120954,0.001171174,0.05600201,0.005260009,0.1064738],"study_design_scores_gemma":[0.00001450893,0.00005356217,0.9644366,0.00008456879,0.0000860017,0.0002258187,0.01229283,0.004089792,0.0003105852,0.01380103,0.004592317,0.00001238077],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9619784,0.0006042666,0.0001648104,0.001968822,0.00002656141,0.00000629605,0.0002136042,0.000003280552,0.03503383],"genre_scores_gemma":[0.9985568,0.0002438617,0.00004070083,0.00002740461,0.00000861182,0.000002854798,0.0000309942,0.00000166984,0.001087173],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03193262,"threshold_uncertainty_score":0.06349349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04633610958255594,"score_gpt":0.3082914897325453,"score_spread":0.2619553801499893,"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."}}