{"id":"W3127919375","doi":"10.2196/17573","title":"A Novel User Utility Score for Diabetes Management Using Tailored Mobile Coaching: Secondary Analysis of a Randomized Controlled Trial","year":2021,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Samsung","keywords":"Randomized controlled trial; Coaching; Diabetes mellitus; Medicine; Computer science; Physical therapy; Diabetes management; Mobile apps; Type 2 diabetes; Psychology; Internal medicine; World Wide Web; Psychotherapist","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":[0.01836652,0.001992504,0.005785332,0.001778701,0.0005410307,0.001589811,0.001121507,0.002224804,0.004832597],"category_scores_gemma":[0.02267378,0.0007315839,0.007402912,0.001710969,0.001181844,0.001746083,0.001273803,0.002146007,0.0003594454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009640635,"about_ca_system_score_gemma":0.001162583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001095237,"about_ca_topic_score_gemma":0.001294588,"domain_scores_codex":[0.9800938,0.01454989,0.001677182,0.001509838,0.001405503,0.0007638059],"domain_scores_gemma":[0.9828722,0.01004626,0.003744791,0.001351115,0.001132775,0.0008528398],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.947958,0.002916919,0.01403118,0.002011567,0.02083044,0.0000485222,0.00009987081,0.000526422,0.00059063,0.0001577543,0.0006704616,0.01015818],"study_design_scores_gemma":[0.827527,0.08273562,0.05355541,0.0002280967,0.0294872,0.00006658299,0.0001390796,0.003887967,0.0007524574,0.0006410773,0.0008944119,0.0000850071],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9598368,0.006365969,0.004858986,0.0004558254,0.001018045,0.02235327,0.002823204,0.0002626484,0.002025384],"genre_scores_gemma":[0.9709799,0.0007857383,0.004306419,0.00035228,0.0003332604,0.02159378,0.0008836846,0.00003195606,0.0007330262],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01836652,"threshold_uncertainty_score":0.09713256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08713540731361667,"score_gpt":0.4487089312244214,"score_spread":0.3615735239108047,"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."}}