{"id":"W4384698183","doi":"10.1101/2023.07.16.23292380","title":"Two Decades of Endemic Dengue in Bangladesh (2000-2022): Trends, Seasonality, and impact of Temperature and Rainfall Patterns on transmission dynamics","year":2023,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Mosquito-borne diseases and control","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European and Developing Countries Clinical Trials Partnership; National Institutes of Health; Ministry of Health and Family Welfare; International Development Research Centre","keywords":"Dengue fever; Case fatality rate; Seasonality; Poisson regression; Geography; Christian ministry; Demography; Monsoon; Autoregressive integrated moving average; Transmission (telecommunications); Time series; Environmental science; Meteorology; Medicine; Statistics; Mathematics; Population; Virology","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":[0.0005695156,0.0003315108,0.0002379895,0.0007932403,0.0001897491,0.0006532762,0.0001941878,0.0003135821,0.001357579],"category_scores_gemma":[0.0008320323,0.0001542648,0.0003477981,0.001667897,0.0001597184,0.0005796865,0.0004389631,0.0003312259,0.0003178889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007199734,"about_ca_system_score_gemma":0.000517963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03912628,"about_ca_topic_score_gemma":0.05240004,"domain_scores_codex":[0.9997191,0.00004730848,0.00004655314,0.00007038303,0.00004940847,0.00006715764],"domain_scores_gemma":[0.9994777,0.00004425327,0.0002440024,0.00002641476,0.0001322336,0.00007539985],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001732733,0.00002336082,0.9940508,0.00005812984,0.00009383458,0.0001681773,0.000215869,0.0002822996,0.0005221243,0.00005583483,0.0004892149,0.003867066],"study_design_scores_gemma":[0.000004186571,0.00003131995,0.9984366,0.00002335788,0.0000197945,0.0001317891,0.0004446219,0.000202494,0.00006806603,0.00001654473,0.0006165809,0.000004685282],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99129,0.001393351,0.0001254545,0.0002346883,0.00001724226,0.00001182539,0.005573562,0.00000816072,0.001345718],"genre_scores_gemma":[0.9963781,0.0006200987,0.00005483992,0.00003962361,0.00001214879,0.00001075324,0.002599858,0.000001857285,0.0002827572],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03912628,"threshold_uncertainty_score":0.07779706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0163278726327642,"score_gpt":0.3160032359185401,"score_spread":0.2996753632857759,"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."}}