{"id":"W4229076966","doi":"10.2196/37779","title":"Mobile Health App for Tuberculosis Screening and Compliance to Undergo Chest X-ray Examination Among Presumptive Cases Detected by the App in Myanmar: Usability Study","year":2022,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fogarty International Center; National Institutes of Health; Prince of Songkla University","keywords":"Usability; Medicine; Mobile apps; Referral; Tuberculosis; Smartphone app; Family medicine; World Wide Web; Pathology; Computer science","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":[0.004859298,0.0004539343,0.0005227657,0.0007005322,0.0004939681,0.0008423794,0.0003170542,0.0004949746,0.001629714],"category_scores_gemma":[0.01800087,0.0002980764,0.0009644984,0.0003398457,0.0002953466,0.0008756266,0.0006763174,0.000497268,0.0002552906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004246742,"about_ca_system_score_gemma":0.0005440097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001805063,"about_ca_topic_score_gemma":0.002439502,"domain_scores_codex":[0.997921,0.00108112,0.0002985237,0.0002038099,0.0003208182,0.0001747675],"domain_scores_gemma":[0.989844,0.006595426,0.001679855,0.0003762886,0.00106667,0.000437792],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003542678,0.01011785,0.8647862,0.002209131,0.0006998036,0.0008046778,0.01606808,0.0003943911,0.00291594,0.0001569696,0.002223277,0.09608105],"study_design_scores_gemma":[0.0003586923,0.02022093,0.961952,0.0005011176,0.000691953,0.0009657845,0.008042193,0.00321502,0.001145405,0.00008333642,0.002717313,0.0001063505],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991021,0.0001157992,0.0001240834,0.00005812135,0.000007336084,0.0002088532,0.0000847445,0.000008987733,0.0002899783],"genre_scores_gemma":[0.9971986,0.0002783373,0.001341536,0.0001009028,0.00001665453,0.0005342219,0.0001432295,0.000006276773,0.0003802358],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004859298,"threshold_uncertainty_score":0.02569872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1234470704706102,"score_gpt":0.4511368746011015,"score_spread":0.3276898041304914,"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."}}