{"id":"W4414211392","doi":"10.2196/71793","title":"Shesha, a WhatsApp Chatbot for Linking Household Contacts to Tuberculosis Treatment or Preventive Therapy in South Africa: Design and Development","year":2025,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European and Developing Countries Clinical Trials Partnership","keywords":"Chatbot; mHealth; Documentation; Psychological intervention; Tuberculosis; eHealth; Public health; Telemedicine","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":[0.006381451,0.0008091654,0.0003057422,0.001072027,0.0008996933,0.001166268,0.001491228,0.001040387,0.005252205],"category_scores_gemma":[0.01166632,0.0005425367,0.0003946288,0.000373034,0.001369328,0.00187943,0.002403097,0.0007832309,0.0006522189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001118222,"about_ca_system_score_gemma":0.00270788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001718466,"about_ca_topic_score_gemma":0.002632546,"domain_scores_codex":[0.997532,0.001559037,0.0001448645,0.000280014,0.0002610926,0.0002229131],"domain_scores_gemma":[0.9921239,0.005585882,0.0003307852,0.0003139185,0.0007080107,0.0009375666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003276648,0.006814121,0.03622186,0.01055816,0.0001526662,0.004330119,0.09037764,0.008701665,0.08096387,0.0113307,0.01613583,0.7311368],"study_design_scores_gemma":[0.0055286,0.04888325,0.143842,0.008466795,0.001377301,0.006506746,0.1104458,0.1417859,0.1072173,0.01781987,0.4070164,0.001110184],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7958238,0.001162124,0.157983,0.002009203,0.0002237868,0.02300438,0.0007236758,0.00426422,0.01480582],"genre_scores_gemma":[0.6490608,0.0008185393,0.3179085,0.0008697739,0.0000352246,0.01868032,0.0005622595,0.0003906479,0.01167379],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.006381451,"threshold_uncertainty_score":0.03374875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2699286880381017,"score_gpt":0.5100706653726683,"score_spread":0.2401419773345666,"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."}}