{"id":"W4393180880","doi":"10.1101/2024.03.24.24304789","title":"Shifting Geographical Transmission Patterns: Characterizing the 2023 Fatal Dengue Outbreak in Bangladesh","year":2024,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Mosquito-borne diseases and control","field":"Medicine","cited_by":2,"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; Outbreak; Geography; Transmission (telecommunications); Socioeconomics; Virology; Medicine; Economics; Computer science; Telecommunications","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":[0.000490033,0.0002590496,0.0002601577,0.00105789,0.0004776225,0.0005817805,0.0003444306,0.0003702307,0.001153762],"category_scores_gemma":[0.001479383,0.0001734894,0.0002727333,0.002234314,0.0002569621,0.0003857222,0.0006963408,0.0003079602,0.0004534007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009955789,"about_ca_system_score_gemma":0.0004415695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04667003,"about_ca_topic_score_gemma":0.04988799,"domain_scores_codex":[0.9996566,0.00008999195,0.00005872911,0.00006040667,0.00005529985,0.00007894249],"domain_scores_gemma":[0.9993106,0.0000902682,0.0002918418,0.00004336783,0.0001584092,0.000105483],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005146944,0.00001113377,0.9963882,0.00001289007,0.00001955791,0.0002576903,0.0003822731,0.0002809269,0.0005216837,0.00003792958,0.0003620935,0.001674298],"study_design_scores_gemma":[0.00000214845,0.00002603193,0.9959039,0.0000119285,0.000008017096,0.0003160083,0.00224988,0.0007329351,0.00006965376,0.00006675382,0.0006030601,0.000009673738],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967291,0.0001211645,0.0002129383,0.00009695285,0.000004190882,0.00002395181,0.002010222,0.00000543591,0.0007960413],"genre_scores_gemma":[0.9978853,0.0001095686,0.0001444509,0.00002589019,0.000003685591,0.00002554075,0.001674338,0.000002929528,0.0001282979],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04667003,"threshold_uncertainty_score":0.09279674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01574581525902034,"score_gpt":0.2729669684766001,"score_spread":0.2572211532175798,"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."}}