{"id":"W4206305486","doi":"10.2196/29407","title":"Reaching Patients With Noncommunicable Diseases in Rural Tanzania Using Mobile Devices and Community Trust: Qualitative Study","year":2021,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"mHealth; Focus group; Swahili; Tanzania; Medicine; Usability; Health care; Telemedicine; Mobile phone; Short Message Service; Community health; Nursing; Internet privacy; Family medicine; Public health; Business; Psychological intervention; Computer science; Geography; Political science; Telecommunications","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":[0.004080504,0.0003850456,0.000528465,0.001026444,0.006297898,0.001741601,0.001049928,0.00100971,0.003135907],"category_scores_gemma":[0.005796316,0.0006356303,0.0003130739,0.001031202,0.003056886,0.001438882,0.003082297,0.001300153,0.0002310352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003051757,"about_ca_system_score_gemma":0.004328116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01300913,"about_ca_topic_score_gemma":0.02589186,"domain_scores_codex":[0.9975408,0.001562482,0.0000802475,0.0001385704,0.000136444,0.0005414452],"domain_scores_gemma":[0.9952553,0.002964515,0.0005159233,0.00009830336,0.0003797456,0.0007860726],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004438441,0.000125482,0.01007389,0.0003064754,0.000005702951,0.001647511,0.9813758,0.00001803937,0.001288387,0.0003588842,0.0005034473,0.004251955],"study_design_scores_gemma":[0.000007287304,0.0001357075,0.005129601,0.000173986,0.000006058881,0.000353235,0.990969,0.00004794947,0.0001287912,0.00005905782,0.002980559,0.000008826202],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967642,0.0004689494,0.0003745469,0.00090354,0.00002149441,0.0002128353,0.0000631997,0.000005892941,0.001185435],"genre_scores_gemma":[0.9973911,0.0005307434,0.0003457922,0.0006097301,0.00001048147,0.0002483251,0.00003312864,0.000005220286,0.0008255329],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01300913,"threshold_uncertainty_score":0.02586681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09921708400707421,"score_gpt":0.4996216381948607,"score_spread":0.4004045541877865,"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."}}