{"id":"W2786384288","doi":"10.2196/mhealth.9265","title":"Mobile Diabetes Intervention Study of Patient Engagement and Impact on Blood Glucose: Mixed Methods Analysis","year":2018,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute on Aging","keywords":"Medicine; Diabetes mellitus; Patient portal; Diabetes management; Glycated hemoglobin; Intervention (counseling); mHealth; Glycemic; Randomized controlled trial; Type 2 diabetes; Self-management; Health care; Blood glucose monitoring; Family medicine; Physical therapy; Psychological intervention; Nursing; Internal medicine","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":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.004955143,0.0003822261,0.001071158,0.0007954405,0.001701062,0.00001427621,0.0001753329,0.0002440112,0.0002431819],"category_scores_gemma":[0.0001627422,0.0003034956,0.0001435679,0.001300339,0.0001567004,0.00009850157,0.0002028356,0.0008447473,0.00002223193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000223913,"about_ca_system_score_gemma":0.0005067577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001775157,"about_ca_topic_score_gemma":0.0007750062,"domain_scores_codex":[0.9915588,0.003962232,0.001984711,0.0008462573,0.000406283,0.001241703],"domain_scores_gemma":[0.9951209,0.001066376,0.001298899,0.000821482,0.000354481,0.001337793],"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":[0.0008601061,0.005510105,0.4326776,0.005685031,0.0006200846,0.000001327701,0.02516596,0.00001462301,0.00009288386,0.001122494,0.002192141,0.5260577],"study_design_scores_gemma":[0.005201798,0.03083918,0.932931,0.0002704677,0.001487166,0.00000114072,0.01854701,0.0009887761,0.0001253486,0.0004342741,0.00880471,0.0003691074],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9885983,0.002078173,0.0002497247,0.0002246644,0.0003990901,0.007954621,0.00008411972,0.0001026703,0.0003086633],"genre_scores_gemma":[0.9866315,0.001507882,0.001463676,0.001166695,0.0002346537,0.008831508,0.00006732369,0.00003963762,0.0000571812],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5256886,"threshold_uncertainty_score":0.9999417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06853991182963974,"score_gpt":0.5167467369121863,"score_spread":0.4482068250825466,"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."}}