{"id":"W4388565996","doi":"10.2196/51998","title":"Active Tuberculosis Screening via a Mobile Health App in Myanmar: Incremental Cost-Effectiveness Evaluation","year":2023,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fogarty International Center; National Institutes of Health; Prince of Songkla University","keywords":"Medicine; Per capita; Population; Gross domestic product; Cost effectiveness; Disability-adjusted life year; Tuberculosis; Cost–benefit analysis; Environmental health; Demography; Economic growth; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.007635967,0.001827491,0.001778746,0.001721421,0.0003039487,0.00155558,0.001379876,0.001528775,0.006702273],"category_scores_gemma":[0.02568983,0.0006812623,0.004576716,0.001051612,0.0005667649,0.001444635,0.001302035,0.001233685,0.0002503688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004655773,"about_ca_system_score_gemma":0.003173817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009458091,"about_ca_topic_score_gemma":0.005191232,"domain_scores_codex":[0.9955872,0.003357142,0.0001929832,0.0002297507,0.0003300019,0.000302832],"domain_scores_gemma":[0.9880427,0.009867204,0.0009984183,0.0002245443,0.0004780243,0.0003891227],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.08744565,0.01013092,0.03907098,0.008672332,0.01138739,0.0007778011,0.0002180762,0.6311992,0.002046235,0.005738814,0.002621378,0.2006912],"study_design_scores_gemma":[0.02216041,0.08590344,0.04536348,0.003040174,0.0271666,0.001034479,0.0005886194,0.8014266,0.002893519,0.005710382,0.004457965,0.0002543367],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.951776,0.01179171,0.01434486,0.002111846,0.0001856319,0.006690215,0.003870563,0.0001955079,0.009033738],"genre_scores_gemma":[0.9891016,0.002338824,0.005886496,0.0001646291,0.00003690296,0.001509907,0.00060053,0.00001114386,0.0003499606],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009458091,"threshold_uncertainty_score":0.04038334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1628783690048318,"score_gpt":0.5233245512547182,"score_spread":0.3604461822498864,"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."}}