{"id":"W2900948333","doi":"10.2196/11720","title":"To Text or Not to Text: Electronic Message Intervention to Improve Treatment Adherence Versus Matched Historical Controls","year":2018,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Heart, Lung, and Blood Institute; National Institutes of Health","keywords":"Text message; Intervention (counseling); Text messaging; Short Message Service; Computer science; Medicine; Psychology; Internet privacy; Nursing; Telecommunications; Computer network","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":[0.001819903,0.0006424558,0.0007996263,0.0008119085,0.0004681181,0.0005524771,0.0007081821,0.001299255,0.01018852],"category_scores_gemma":[0.005046589,0.0002590834,0.0008889841,0.0003177959,0.0004538882,0.0007137522,0.0006675355,0.0007589289,0.0006745787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004259827,"about_ca_system_score_gemma":0.0004122044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005636909,"about_ca_topic_score_gemma":0.0004579131,"domain_scores_codex":[0.9987174,0.000598835,0.0001608954,0.0002555407,0.0001325568,0.000134807],"domain_scores_gemma":[0.9985645,0.00057037,0.0004611471,0.0001270055,0.00005692014,0.0002201087],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.5015243,0.1594544,0.01307715,0.001969299,0.001418056,0.0001342792,0.0006248267,0.0008876908,0.007203731,0.0007005753,0.002608745,0.3103969],"study_design_scores_gemma":[0.2538987,0.6196612,0.09997706,0.0006627069,0.004312661,0.0001536507,0.0004295862,0.005936799,0.008106424,0.001133003,0.005660359,0.00006795204],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994876,0.0006118508,0.0008174526,0.0003214127,0.0002914522,0.00136769,0.0001873718,0.00009955648,0.001427373],"genre_scores_gemma":[0.9946296,0.0002516507,0.001944588,0.0002922528,0.0001985295,0.001628411,0.0001456752,0.000005533473,0.0009037658],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01018852,"threshold_uncertainty_score":0.03408402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08804374184167146,"score_gpt":0.4788350056866698,"score_spread":0.3907912638449983,"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."}}