{"id":"W4379209504","doi":"10.31223/x5ww9v","title":"Crowded and warmer: unequal dengue risk at high spatial resolution across a megacity of India","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Mosquito-borne diseases and control","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Division of Mathematical Sciences; International Development Research Centre; National Institutes of Health; University of Chicago; National Science Foundation","keywords":"Megacity; Dengue fever; Geography; Aedes aegypti; Context (archaeology); Chikungunya; Transmission (telecommunications); Population; Outbreak; Spatial heterogeneity; Vector (molecular biology); Environmental health; Ecology; Biology; Virology; Medicine","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":[0.000293884,0.0002934237,0.0003416938,0.001677589,0.0006927632,0.002074876,0.0007592703,0.000312098,0.001151162],"category_scores_gemma":[0.001656666,0.0003484416,0.0005654419,0.002750154,0.0006857811,0.0005237265,0.001679192,0.0003723884,0.0002598674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008451283,"about_ca_system_score_gemma":0.0006744553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09372698,"about_ca_topic_score_gemma":0.1081211,"domain_scores_codex":[0.9994676,0.0001291746,0.000029926,0.000138194,0.0000890759,0.0001460207],"domain_scores_gemma":[0.9989857,0.0003275138,0.0002208855,0.0001819192,0.0001882448,0.00009564913],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000134279,0.00005949203,0.9645945,0.00007663861,0.0002195491,0.0006781053,0.003254496,0.01412304,0.001938868,0.0009529223,0.00146326,0.01250486],"study_design_scores_gemma":[0.000006366304,0.00001287792,0.9863783,0.0000188492,0.00005577024,0.0002498669,0.003760614,0.008029667,0.0002859773,0.0003403259,0.000832442,0.00002894691],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997381,0.00007115136,0.0005707669,0.0001120727,0.000004146224,0.00001014456,0.0007943026,0.00005833889,0.0009979845],"genre_scores_gemma":[0.9987016,0.00003769079,0.0005185384,0.00001379066,0.000003601143,0.00000930233,0.0005616372,0.000007524942,0.0001463514],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09372698,"threshold_uncertainty_score":0.1863629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02121543403588776,"score_gpt":0.2984462530321439,"score_spread":0.2772308189962562,"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."}}