{"id":"W2763828059","doi":"10.2196/humanfactors.7709","title":"Lack of Adoption of a Mobile App to Support Patient Self-Management of Diabetes and Hypertension in a Federally Qualified Health Center: Interview Analysis of Staff and Patients in a Failed Randomized Trial","year":2017,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":134,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"mHealth; Self-management; Mobile apps; Randomized controlled trial; Health management system; Center (category theory); Business; Medicine; Nursing; Computer science; Alternative medicine; World Wide Web","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001631777,0.0001782437,0.001784358,0.00072728,0.0001913303,0.000005533712,0.0001583153,0.0001191829,0.00003476203],"category_scores_gemma":[0.00009342153,0.0001475212,0.0001318592,0.0003141002,0.00009009917,0.00008222686,0.0001968845,0.0001686387,5.669021e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001117442,"about_ca_system_score_gemma":0.0001345024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001358854,"about_ca_topic_score_gemma":0.002309539,"domain_scores_codex":[0.9956993,0.0008171453,0.002480312,0.0003342711,0.0003059784,0.0003629416],"domain_scores_gemma":[0.9964751,0.0002959674,0.002299717,0.0004970219,0.0002128098,0.0002193968],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.03917854,0.005040257,0.8890938,0.01352214,0.0004279403,4.212207e-7,0.03266798,0.00001489867,0.00007167099,0.0006430789,0.0002657341,0.01907354],"study_design_scores_gemma":[0.2600565,0.002683651,0.731127,0.001440622,0.000168651,1.004152e-8,0.003798645,0.0001311888,0.00002111363,0.00005312949,0.0003734978,0.0001459298],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869957,0.00007358299,0.000009495432,0.00009641222,0.00006701821,0.01250423,0.0001627853,0.00001102814,0.00007973593],"genre_scores_gemma":[0.9955208,0.0004657355,0.0001486233,0.00008927969,0.000005242909,0.003563674,0.0001826329,0.00001331193,0.00001069567],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.220878,"threshold_uncertainty_score":0.601574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07515211865133212,"score_gpt":0.4276050008839522,"score_spread":0.3524528822326201,"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."}}