{"id":"W4413921649","doi":"10.2196/65919","title":"Mobile App–Assisted Self-Monitoring of Blood Glucose in Type 2 Diabetes in Ningbo, China: 12-Month Retrospective Cohort Study","year":2025,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Science and Technology Program of Zhejiang Province","keywords":"Glycemic; Medicine; Type 2 diabetes; Type 2 Diabetes Mellitus; Cohort; Propensity score matching; Odds ratio; Retrospective cohort study; Diabetes management; Logistic regression; Diabetes mellitus; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001131819,0.0006314258,0.0006110674,0.0008231567,0.001396408,0.0007620404,0.0006948347,0.0006202585,0.001507029],"category_scores_gemma":[0.001235766,0.0008994777,0.0008676325,0.001765599,0.000476218,0.0007047464,0.0006851942,0.0007341627,0.0002866337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00169989,"about_ca_system_score_gemma":0.001748767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05861357,"about_ca_topic_score_gemma":0.06795978,"domain_scores_codex":[0.9992599,0.00009700686,0.0001008843,0.0002648475,0.000131485,0.0001458523],"domain_scores_gemma":[0.9990931,0.00007735175,0.0003813772,0.0001069681,0.0001506242,0.0001905612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001453837,0.00007601333,0.9986575,0.00005078509,0.00006702833,0.0001098476,0.0001897301,0.00001195529,0.0001170351,0.00001114968,0.0001172891,0.0004462735],"study_design_scores_gemma":[0.00003138786,0.0001249218,0.9989645,0.00002380951,0.00007188726,0.0001079077,0.0003145586,0.00008473897,0.00002213164,0.000007977753,0.0002385824,0.000007704574],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978725,0.000541723,0.00008866884,0.00004654636,0.00001403496,0.0001261008,0.001001671,0.000002632287,0.0003062121],"genre_scores_gemma":[0.9975503,0.0004087557,0.0001730946,0.000127329,0.00001577053,0.0002184982,0.001097503,0.00000313857,0.0004054751],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05861357,"threshold_uncertainty_score":0.1165448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02835833831902006,"score_gpt":0.4134560621781496,"score_spread":0.3850977238591295,"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."}}