{"id":"W4282963996","doi":"10.2196/31764","title":"Real-world Benefits of Diabetes Management App Use and Self-monitoring of Blood Glucose on Glycemic Control: Retrospective Analyses","year":2022,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Diabetes Management and Education","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Glycemic; Medicine; Diabetes mellitus; mHealth; Diabetes management; Digital health; Blood Glucose Self-Monitoring; Telemedicine; Internal medicine; Type 2 diabetes; Health care; Endocrinology; Continuous glucose monitoring; Nursing; Psychological intervention","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":[0.004189533,0.0004214417,0.0005305212,0.001606327,0.0005817744,0.0008573327,0.0005725253,0.0005618586,0.001403263],"category_scores_gemma":[0.01123675,0.0005639134,0.002239921,0.001987634,0.0004999075,0.0009863803,0.0009161081,0.0009969752,0.0002945769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005785608,"about_ca_system_score_gemma":0.0006580285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003733964,"about_ca_topic_score_gemma":0.004090318,"domain_scores_codex":[0.9966245,0.001221071,0.0007956705,0.0006125257,0.0004868918,0.0002593932],"domain_scores_gemma":[0.9859585,0.005044083,0.005502678,0.001386486,0.001553911,0.000554366],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004329527,0.0001373857,0.9971404,0.00005309982,0.0002988531,0.00003482461,0.000203269,0.00009040651,0.00004534905,0.00002194112,0.0001314993,0.001410018],"study_design_scores_gemma":[0.00003036472,0.0006310663,0.9969683,0.0000295178,0.0003840707,0.0001831863,0.0005485323,0.0006385484,0.0001434171,0.00003227948,0.0003943843,0.00001644979],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972152,0.0004722842,0.0003501337,0.00002044558,0.000007149861,0.0001544655,0.001372489,0.000006958041,0.0004009013],"genre_scores_gemma":[0.9975895,0.0002163437,0.000418193,0.00003639873,0.00001194349,0.0002942271,0.001276502,0.000006002959,0.0001510592],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004189533,"threshold_uncertainty_score":0.02215666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04694149522473528,"score_gpt":0.357185167495964,"score_spread":0.3102436722712287,"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."}}