{"id":"W4409151563","doi":"10.1016/j.microb.2025.100325","title":"Clinical profiles and hematologic patterns in Bangladesh's 2019 dengue outbreak","year":2025,"lang":"en","type":"article","venue":"The Microbe","topic":"Mosquito-borne diseases and control","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Bangladesh Bureau of Educational Information and Statistics; Shahjalal University of Science and Technology","keywords":"Dengue fever; Outbreak; Virology; Medicine; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002651691,0.0001031085,0.0002884146,0.00004460692,0.00003663732,0.00001721456,0.000111839,0.00007958351,0.00009057781],"category_scores_gemma":[0.00007586868,0.00006211762,0.00008651934,0.00008220486,0.00007237139,0.00001757981,0.0001001281,0.0001900425,0.00003124493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001444842,"about_ca_system_score_gemma":0.00005676181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000153664,"about_ca_topic_score_gemma":0.00006187283,"domain_scores_codex":[0.999191,0.00008718,0.0002698638,0.000214189,0.00005367277,0.0001840302],"domain_scores_gemma":[0.9994385,0.0001425534,0.00004175771,0.0003005162,0.00002495538,0.00005175044],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002227699,0.0002593237,0.9564666,0.0001825196,0.00008287933,0.00007958598,0.000128742,5.092753e-7,0.002954331,0.001549157,0.01484868,0.02322486],"study_design_scores_gemma":[0.002853861,0.00007246602,0.9857638,0.0003253924,0.000187485,0.00004479071,0.0003455425,0.0001595165,0.0008826946,0.0004211004,0.008835169,0.0001082022],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9878713,0.004473873,0.0000863299,0.006128646,0.0001296282,0.0004741755,0.00002415875,0.00002939103,0.0007825081],"genre_scores_gemma":[0.994022,0.0002396098,0.00004470889,0.003592358,0.0000764643,0.00002725819,0.00001798219,0.000007649971,0.001971936],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02929714,"threshold_uncertainty_score":0.2533083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01219468960874762,"score_gpt":0.3108294469589096,"score_spread":0.2986347573501619,"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."}}