{"id":"W4416780152","doi":"10.46610/jctr.2025.v07i02.002","title":"Seasonality and Subnational Heterogeneity of Dengue in Bangladesh: A Descriptive Epidemiology","year":2025,"lang":"","type":"article","venue":"Journal of Clinical Trials and Regulations","topic":"Mosquito-borne diseases and control","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Case fatality rate; Dengue fever; Seasonality; Quarter (Canadian coin); Context (archaeology); Epidemiology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0008149263,0.0002006476,0.0002520386,0.001591292,0.0003015159,0.0005496476,0.0002586779,0.0001599912,0.001878539],"category_scores_gemma":[0.001784407,0.0002931712,0.0004079107,0.002404121,0.0003206255,0.0005799383,0.000871041,0.0001896275,0.0003013061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000517556,"about_ca_system_score_gemma":0.0004557788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02057058,"about_ca_topic_score_gemma":0.02653995,"domain_scores_codex":[0.999353,0.0001798974,0.0001410342,0.0001470962,0.00008008467,0.00009892164],"domain_scores_gemma":[0.9989969,0.0001716526,0.000421383,0.0001574762,0.0001621355,0.00009055962],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002479046,0.000007299664,0.9973156,0.0000145951,0.00002622383,0.00003239112,0.0003534697,0.00005840341,0.0001934102,0.0000383535,0.0001150906,0.001820394],"study_design_scores_gemma":[0.000001249896,0.00004127041,0.9976205,0.00001027759,0.00001056836,0.0001916753,0.001503524,0.0001975537,0.00003584312,0.00004946181,0.000332392,0.000005522615],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995573,0.0002455493,0.0003546582,0.00005117141,0.000001969917,0.00004468804,0.002665393,0.000009419743,0.001054027],"genre_scores_gemma":[0.9970741,0.0002582538,0.0003574688,0.00002267694,0.000002838198,0.00005751836,0.002001544,0.00000557407,0.0002199834],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02057058,"threshold_uncertainty_score":0.04090166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3362069949254152,"score_gpt":0.5474577938596268,"score_spread":0.2112507989342116,"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."}}