{"id":"W2744979135","doi":"10.1186/s12916-017-0908-3","title":"Characterizing measles transmission in India: a dynamic modeling study using verbal autopsy data","year":2017,"lang":"en","type":"article","venue":"BMC Medicine","topic":"Virology and Viral Diseases","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Partnership Against Cancer; Hospital for Sick Children; University of Toronto; SickKids Foundation; St. Michael's Hospital; Université de Montréal","funders":"World Health Organization; GAVI Alliance","keywords":"Measles; Medicine; Verbal autopsy; Case fatality rate; Vaccination; Demography; Transmission (telecommunications); Confidence interval; Measles vaccine; Child mortality; Environmental health; Pediatrics; Cause of death; Population; Immunology; Disease; Pathology; Internal medicine","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":[0.0006811905,0.0001921044,0.0005044094,0.0001673461,0.0002753327,0.00001584878,0.0004504115,0.0001126868,0.00009138179],"category_scores_gemma":[0.0004604067,0.000142868,0.00003588905,0.0000733991,0.0001363622,0.0003085101,0.0001713984,0.0002957538,0.000007719942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005353906,"about_ca_system_score_gemma":0.0001642196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003151675,"about_ca_topic_score_gemma":0.00008968338,"domain_scores_codex":[0.9984237,0.00009459947,0.0003945351,0.0004936014,0.0003059717,0.0002875737],"domain_scores_gemma":[0.9983537,0.00003489259,0.0001297389,0.001270388,0.00003046157,0.000180838],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00305913,0.001705479,0.9138772,0.0006251911,0.0002019632,0.001336763,0.004968443,0.0001243803,0.05528304,0.00004553597,0.00005461591,0.01871824],"study_design_scores_gemma":[0.004325131,0.0003108423,0.5864643,0.0007759129,0.0003142305,0.0000360757,0.0008520116,0.406735,0.00001229826,0.0000384853,0.00002820757,0.0001074424],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994341,0.0009260903,0.003025676,0.0005894122,0.0002207666,0.000553232,0.00001140448,0.00004790215,0.0002844923],"genre_scores_gemma":[0.998556,0.00007437202,0.0006442526,0.0002858437,0.0002456587,0.000008832216,0.0001083253,0.00002333845,0.00005343661],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4066106,"threshold_uncertainty_score":0.5825989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1672869504806494,"score_gpt":0.4124125333159184,"score_spread":0.245125582835269,"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."}}