{"id":"W2530812225","doi":"10.3389/fpubh.2016.00227","title":"Impact of Highland Topography Changes on Exposure to Malaria Vectors and Immunity in Western Kenya","year":2016,"lang":"en","type":"article","venue":"Frontiers in Public Health","topic":"Malaria Research and Control","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Malaria; Deforestation (computer science); Anopheles gambiae; Ecology; Population; Anopheles; Subsistence agriculture; Plateau (mathematics); Geography; Population density; Transmission (telecommunications); Habitat; Biology; Agriculture; Environmental health; Immunology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001777723,0.0002133966,0.0001715676,0.0002818123,0.0007796082,0.0003334866,0.0001617173,0.0001802807,0.001560212],"category_scores_gemma":[0.000478256,0.0001628539,0.0001294486,0.0004155538,0.0003878222,0.0002760573,0.0003808287,0.0002083196,0.0001000671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008206762,"about_ca_system_score_gemma":0.0006196162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05424799,"about_ca_topic_score_gemma":0.1542173,"domain_scores_codex":[0.999874,0.00004005639,0.000007052426,0.00001608633,0.00001448849,0.00004821251],"domain_scores_gemma":[0.9998079,0.0000253701,0.00007721982,0.000005723025,0.00002802369,0.00005575094],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001823026,0.000125933,0.9926965,0.00004383849,0.00002026347,0.0007227042,0.001256155,0.00005468994,0.001687769,0.00004012795,0.0001195665,0.003050219],"study_design_scores_gemma":[0.000005700248,0.0001360159,0.9982838,0.000009650036,0.00000833238,0.0002042957,0.001093948,0.00003179521,0.00006739089,0.00000838868,0.0001488904,0.00000185363],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996092,0.00007072947,0.00000647986,0.0000139702,7.049438e-7,0.00001096083,0.00005610021,4.82907e-7,0.0002314561],"genre_scores_gemma":[0.9996401,0.00007986632,0.00004739461,0.00001377855,0.000001213688,0.00001135929,0.00007267065,2.895011e-7,0.0001332784],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05424799,"threshold_uncertainty_score":0.1078644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02538480959809327,"score_gpt":0.3140620155499838,"score_spread":0.2886772059518906,"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."}}