{"id":"W2056530754","doi":"10.1371/journal.pntd.0001908","title":"Forecast of Dengue Incidence Using Temperature and Rainfall","year":2012,"lang":"en","type":"article","venue":"PLoS neglected tropical diseases","topic":"Mosquito-borne diseases and control","field":"Medicine","cited_by":322,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Forskningsrådet för Arbetsliv och Socialvetenskap","keywords":"Dengue fever; Akaike information criterion; Statistics; Poisson regression; Overdispersion; Model selection; Warning system; Econometrics; Mathematics; Computer science; Poisson distribution; Count data; Medicine; Environmental health","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":[0.0006733885,0.0004666352,0.0003272665,0.0005141385,0.0001263845,0.000475159,0.0003888455,0.0003214684,0.001230797],"category_scores_gemma":[0.002245462,0.0002433985,0.0005865439,0.0003793007,0.0001234128,0.0006036067,0.0002664977,0.0004067757,0.0004253831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005327266,"about_ca_system_score_gemma":0.000721634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01272016,"about_ca_topic_score_gemma":0.005865552,"domain_scores_codex":[0.9998265,0.00004365453,0.0000168493,0.00004177175,0.00005169159,0.00001963648],"domain_scores_gemma":[0.9994588,0.0001900662,0.000143764,0.0000460174,0.0001347851,0.00002647787],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001435321,0.00005983708,0.1415003,0.0001108601,0.0001199686,0.0001023436,0.00005502581,0.813163,0.005204249,0.001015958,0.0009058856,0.03761911],"study_design_scores_gemma":[0.000009971649,0.00005942938,0.02235244,0.00001375382,0.00002331549,0.00003184552,0.00001561463,0.9745421,0.001798723,0.0006084428,0.0005292767,0.00001500751],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7705625,0.0004111265,0.2206863,0.0004307363,0.00007888852,0.00007451258,0.00274851,0.001157723,0.003849789],"genre_scores_gemma":[0.984917,0.0001678663,0.01307247,0.0000120171,0.00001734489,0.00002228574,0.001032272,0.00001897958,0.000739688],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01272016,"threshold_uncertainty_score":0.02529228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01664957562382008,"score_gpt":0.2606734951396114,"score_spread":0.2440239195157913,"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."}}