{"id":"W2010486430","doi":"10.1016/j.epidem.2013.09.004","title":"Examining rainfall and cholera dynamics in Haiti using statistical and dynamic modeling approaches","year":2013,"lang":"en","type":"article","venue":"Epidemics","topic":"Vibrio bacteria research studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":158,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto","funders":"Goddard Space Flight Center; National Science Foundation","keywords":"Cholera; Sanitation; Geography; Distributed lag; Incidence (geometry); Climatology; Environmental science; Statistics; Mathematics; Biology","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":[0.001000205,0.0005967959,0.0003306195,0.001347982,0.0004751325,0.001040255,0.0005641991,0.0006235708,0.0005784403],"category_scores_gemma":[0.003268606,0.0003545185,0.0006809552,0.001156373,0.0004527399,0.00104683,0.0007041245,0.0004881395,0.00006572322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001783662,"about_ca_system_score_gemma":0.001529732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07216483,"about_ca_topic_score_gemma":0.04775508,"domain_scores_codex":[0.9996881,0.0001560241,0.00001548095,0.00005762402,0.0000392061,0.00004349096],"domain_scores_gemma":[0.998526,0.001038093,0.0002349943,0.0000406092,0.0001128546,0.00004743117],"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":[0.00004574986,0.0001308251,0.07133208,0.00004039187,0.0002002547,0.00009093528,0.0001296818,0.9116758,0.000982531,0.006777803,0.0002190451,0.008374911],"study_design_scores_gemma":[0.00000354548,0.00002922417,0.01085665,0.000004310393,0.00002252741,0.00001125543,0.0001054223,0.9874351,0.0001287701,0.00117106,0.000222121,0.00001009148],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9690601,0.0002564067,0.02682428,0.0005762102,0.00001598706,0.0000482361,0.0004430587,0.00009575655,0.002679924],"genre_scores_gemma":[0.9922363,0.0002879593,0.006666369,0.00003466951,0.00001584883,0.0000488841,0.0002853812,0.00001078529,0.0004137098],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07216483,"threshold_uncertainty_score":0.1434896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08616396658509023,"score_gpt":0.3011949977610767,"score_spread":0.2150310311759864,"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."}}