{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00415592,0.0001392049,0.0004398876,0.0002522056,0.0005041003,0.000004243313,0.0004287779,0.0001148731,0.004285569],"category_scores_gemma":[0.0007712634,0.0001171115,0.00004942468,0.0001357173,0.00007544723,0.00008664226,0.0001091968,0.0003100266,0.001058314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003824912,"about_ca_system_score_gemma":0.0006998603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003959098,"about_ca_topic_score_gemma":0.006027822,"domain_scores_codex":[0.9974738,0.0003023063,0.001120842,0.0003726252,0.000282899,0.000447488],"domain_scores_gemma":[0.9974412,0.0002422582,0.0005594903,0.001072178,0.0002664624,0.0004184267],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002590388,0.0002897707,0.06358288,0.0008437076,0.00001644594,7.44671e-7,0.007022643,0.0001286019,0.003851671,0.001793626,0.08525166,0.8369592],"study_design_scores_gemma":[0.01874228,0.00406147,0.6836666,0.006122986,0.00009965865,0.000001185,0.006344464,0.001713584,0.0008655603,0.003059126,0.2748327,0.0004904161],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9515885,0.0008547661,0.0007121025,0.01925154,0.001514423,0.01195936,0.00008224481,0.00003987994,0.0139972],"genre_scores_gemma":[0.9732029,0.0004039117,0.000232355,0.001527281,0.0003903854,0.02233266,0.00003036632,0.00002041122,0.001859712],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8364688,"threshold_uncertainty_score":0.9997195,"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."}}