{"id":"W1897405649","doi":"10.4236/health.2015.76080","title":"Interrelation between Climate and Dengue in Malaysia","year":2015,"lang":"en","type":"article","venue":"Health","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Alberta","funders":"","keywords":"Dengue fever; Transmission (telecommunications); Climate change; Geography; Climate model; Precipitation; Climatology; Socioeconomics; Environmental science; Ecology; Virology; Biology; Meteorology; Economics; Geology; Computer science","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":[0.0004595205,0.0001463503,0.0001802092,0.0007657358,0.0002777477,0.0008133647,0.000128906,0.0002052874,0.001219347],"category_scores_gemma":[0.001311604,0.0001436337,0.0003155698,0.001222968,0.0003071059,0.0004732427,0.0006180813,0.0003654954,0.0001234019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006900198,"about_ca_system_score_gemma":0.0006141069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02169466,"about_ca_topic_score_gemma":0.03782595,"domain_scores_codex":[0.9996361,0.0001725405,0.00003353045,0.00004739938,0.00004929767,0.00006119615],"domain_scores_gemma":[0.9987741,0.0003231306,0.0005114178,0.00004551801,0.0001688588,0.0001770475],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002669539,0.00001773087,0.9963679,0.00001875386,0.00006468783,0.0001024689,0.0001200779,0.0005933415,0.0001601201,0.0001229048,0.00007639008,0.002328925],"study_design_scores_gemma":[8.847053e-7,0.00002161212,0.9981345,0.00001432115,0.00002766347,0.00008708555,0.0005093663,0.0007427662,0.00006604654,0.00009960907,0.0002897168,0.000006342376],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996816,0.0009286406,0.000130783,0.0002532248,0.00001126029,0.000005003233,0.0002372388,0.000005176625,0.001612636],"genre_scores_gemma":[0.9992929,0.0004105066,0.00006576091,0.00001533447,0.000007601003,0.000001798168,0.00005934593,8.960907e-7,0.0001459207],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02169466,"threshold_uncertainty_score":0.04313678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1273971510915381,"score_gpt":0.3681292023303415,"score_spread":0.2407320512388033,"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."}}