{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01040615,0.0002030205,0.0005297498,0.0004389347,0.001176084,0.00005918578,0.0003224643,0.00006424366,0.00008822694],"category_scores_gemma":[0.002378359,0.0001527497,0.00007228571,0.001215438,0.0004255815,0.0002572119,0.0005419055,0.001221488,0.00000786637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008364414,"about_ca_system_score_gemma":0.000175082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003067773,"about_ca_topic_score_gemma":0.001129073,"domain_scores_codex":[0.9927052,0.004065287,0.0005932299,0.0005936814,0.0010052,0.001037449],"domain_scores_gemma":[0.9933671,0.005298111,0.0001127404,0.0004733478,0.0003693885,0.0003793656],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005529923,0.006152834,0.5284461,0.001772706,0.0004889177,0.00003774945,0.1236214,0.0007846557,0.001262147,0.0001971361,0.04556982,0.2861366],"study_design_scores_gemma":[0.001892162,0.01296079,0.8952345,0.00009511959,0.00000772915,0.00001915359,0.07473072,0.01220348,0.0001042311,0.00008729214,0.002514935,0.0001498425],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9830914,0.0004667924,0.001023608,0.002767188,0.00002586981,0.01223963,0.000208084,0.00004605706,0.0001314294],"genre_scores_gemma":[0.979045,0.00004667453,0.000306678,0.0002104043,0.00003474105,0.02006512,0.00009276657,0.00002577915,0.0001727805],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3667885,"threshold_uncertainty_score":0.9045607,"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."}}