{"id":"W3134389787","doi":"10.1007/s10745-021-00218-z","title":"Social Dimensions in Designing and Managing Marine Protected Areas in Bangladesh","year":2021,"lang":"en","type":"article","venue":"Human Ecology","topic":"Coral and Marine Ecosystems Studies","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Marine protected area; Fishery; Corporate governance; Business; General partnership; Fisheries management; Environmental resource management; Government (linguistics); Environmental planning; Equity (law); Geography; Fishing; Ecology; Habitat; Political science; Economics; Finance; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001112826,0.00006859909,0.0001459194,0.00004162184,0.0001425802,0.000007949665,0.00003991303,0.0000384449,0.0006721204],"category_scores_gemma":[0.0000262255,0.00007043908,0.00001229402,0.000152585,0.00005909202,0.00004518791,0.0006086762,0.0001074843,0.00002488254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001017233,"about_ca_system_score_gemma":0.000004788328,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006274592,"about_ca_topic_score_gemma":0.05965409,"domain_scores_codex":[0.9993318,0.00007737068,0.0001350377,0.000209028,0.00004220541,0.0002045921],"domain_scores_gemma":[0.9998677,0.00003199351,0.00002779102,0.00004825489,0.000003566323,0.00002063699],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000004161285,0.00004737753,0.993228,0.00001000955,0.000003709785,0.000162603,0.0004406288,0.000007761269,0.003277512,0.0003540224,0.0002390365,0.002225191],"study_design_scores_gemma":[0.0003531196,0.00002564353,0.9948462,0.000006547386,0.000002949752,0.00001336957,0.0001871456,0.00009646433,0.00009537549,0.003902308,0.0003917457,0.00007913088],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907277,0.00001410813,0.0000036767,0.0005701086,0.00003183166,0.0001513969,2.524917e-7,0.00001582019,0.008485089],"genre_scores_gemma":[0.9987546,0.000007267374,0.0001699676,0.0000820655,0.00001691281,0.00005384105,0.000003839648,0.000005100524,0.0009064225],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05902663,"threshold_uncertainty_score":0.9575047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01806781370389378,"score_gpt":0.2392552795533244,"score_spread":0.2211874658494307,"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."}}