{"id":"W2953173108","doi":"10.1016/j.jenvman.2019.05.082","title":"Predicting coastal fishing community characteristics in Tanzania using local monitoring data","year":2019,"lang":"en","type":"article","venue":"Journal of Environmental Management","topic":"Coral and Marine Ecosystems Studies","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"National Science Foundation","keywords":"Fishing; Fishery; Tanzania; Fisheries management; Coral reef; Subsistence agriculture; Geography; Environmental resource management; Marine protected area; Spatial analysis; Habitat; Environmental science; Ecology; Environmental planning; Remote sensing","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":[0.0003226859,0.0002540137,0.0001130623,0.00093284,0.0002369238,0.0002826193,0.000226915,0.0001693284,0.0006115116],"category_scores_gemma":[0.001337645,0.0001692572,0.0001774182,0.0007747533,0.00009743041,0.0002278173,0.0003207499,0.0001479408,0.0001615014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005543045,"about_ca_system_score_gemma":0.0004355434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1045068,"about_ca_topic_score_gemma":0.1940466,"domain_scores_codex":[0.9999207,0.00002132821,0.000008663024,0.00001884183,0.000008571992,0.00002178482],"domain_scores_gemma":[0.9993703,0.0002012566,0.0001992512,0.00002859919,0.000123932,0.00007682426],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000590796,0.00002176334,0.9924564,0.00001150492,0.00001935043,0.00006949757,0.0001307106,0.002228489,0.0006166931,0.00002457947,0.0001335253,0.00422833],"study_design_scores_gemma":[0.000006676134,0.00004469397,0.9841095,0.00001289308,0.00002953252,0.00004068027,0.0005195101,0.01491,0.0002028615,0.00001971995,0.00009964163,0.000004368289],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995449,0.00001771685,0.00007611499,0.000009031422,4.554049e-7,0.000003037625,0.0002605429,0.00000393846,0.00008426551],"genre_scores_gemma":[0.9993125,0.00001812351,0.0002895817,0.000002125345,5.219273e-7,0.000005709306,0.0003005123,8.221929e-7,0.00007018847],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1045068,"threshold_uncertainty_score":0.2077969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02696788727508609,"score_gpt":0.2365745335251721,"score_spread":0.209606646250086,"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."}}