{"id":"W2588031644","doi":"10.1097/md.0000000000006078","title":"Economic evaluation of mobile phone text message interventions to improve adherence to HIV therapy in Kenya","year":2017,"lang":"en","type":"article","venue":"Medicine","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Mental Health; National Institutes of Health","keywords":"Medicine; Psychological intervention; Cost effectiveness; Short Message Service; Mobile phone; Cohort; Cost–benefit analysis; Cost-effectiveness analysis; Quality-adjusted life year; Internal medicine; Nursing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01061053,0.001856536,0.00151772,0.001089331,0.0004734363,0.001365614,0.001139224,0.001586618,0.006974128],"category_scores_gemma":[0.02782066,0.0009079186,0.003980149,0.0008742573,0.0007375459,0.001342201,0.001315295,0.001960541,0.0002460165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009622304,"about_ca_system_score_gemma":0.005667935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0165608,"about_ca_topic_score_gemma":0.01135157,"domain_scores_codex":[0.9921476,0.006616026,0.0002771981,0.000222358,0.0003246357,0.0004121033],"domain_scores_gemma":[0.9884732,0.00918231,0.001262481,0.0001503368,0.0005157054,0.0004159306],"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":[0.08684581,0.006305616,0.02483768,0.01738805,0.01670785,0.001107006,0.0002762708,0.7527586,0.001515714,0.009917534,0.002537232,0.07980275],"study_design_scores_gemma":[0.04560101,0.07734028,0.05071903,0.009657587,0.02612692,0.0008399471,0.0008223405,0.7665949,0.003415941,0.0104493,0.008083269,0.0003494855],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9352138,0.02096002,0.01188058,0.003203018,0.0002917206,0.01068215,0.004744791,0.0001023527,0.01292142],"genre_scores_gemma":[0.9899994,0.002925101,0.003393481,0.0002164573,0.00001992871,0.002272787,0.0005551004,0.000008656375,0.0006091415],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0165608,"threshold_uncertainty_score":0.06981504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.125603084295487,"score_gpt":0.5172817745588852,"score_spread":0.3916786902633982,"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."}}