{"id":"W2767505690","doi":"10.4236/gep.2017.511008","title":"GIS-Based Model for Mapping Malaria Risk under Climate Change Case Study: Burundi","year":2017,"lang":"en","type":"article","venue":"Journal of Geoscience and Environment Protection","topic":"Malaria Research and Control","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Malaria; Climate change; Representative Concentration Pathways; Geography; Geographic information system; Environmental health; Public health; Climate model; Environmental protection; Cartography; Ecology; Medicine; 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":[0.001461022,0.00008711511,0.0001730489,0.0001171501,0.0008286056,0.0001084051,0.0000884304,0.0000462221,0.00001302652],"category_scores_gemma":[0.0001061513,0.00006439041,0.00006849733,0.00002521311,0.000101028,0.0003828804,0.00004320927,0.0002199295,0.000001512938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007246997,"about_ca_system_score_gemma":0.00004136856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002766883,"about_ca_topic_score_gemma":0.00004345425,"domain_scores_codex":[0.999018,0.00003795118,0.000216794,0.0001653405,0.0003246538,0.0002372948],"domain_scores_gemma":[0.9992087,0.00001567782,0.0003770288,0.0002118992,0.00003296253,0.0001536814],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.007057691,0.003763132,0.1395618,0.000615727,0.0003640538,0.00289802,0.003729868,0.01008879,0.06175001,0.0003782669,0.00003370227,0.7697589],"study_design_scores_gemma":[0.005674622,0.00348536,0.292998,0.00008650463,0.0001579709,0.001059556,0.001207573,0.6943608,0.0001204788,0.0005119501,0.0002112381,0.0001259272],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6683912,0.0000527442,0.3264802,0.003863094,0.00006139175,0.00113217,0.000004520221,0.000003606654,0.00001099789],"genre_scores_gemma":[0.9974076,0.0002245389,0.001882285,0.00008313815,0.0001642349,0.0001095035,2.255272e-7,0.000006707904,0.0001217394],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.769633,"threshold_uncertainty_score":0.6373048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09238021642423591,"score_gpt":0.3161566638450785,"score_spread":0.2237764474208425,"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."}}