{"id":"W3159078634","doi":"10.2196/mhealth.6522","title":"Mobile App-Based Interventions to Support Diabetes Self-Management: A Systematic Review of Randomized Controlled Trials to Identify Functions Associated with Glycemic Efficacy","year":2017,"lang":"en","type":"review","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":306,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"West China Hospital, Sichuan University; National Key Research and Development Program of China; Sichuan University; National Natural Science Foundation of China","keywords":"Psychological intervention; Randomized controlled trial; Medicine; Glycemic; MEDLINE; Diabetes mellitus; Systematic review; Diabetes management; Adverse effect; Meta-analysis; mHealth; Type 2 diabetes; Internal medicine; Nursing","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":["metaresearch","metaepi_narrow","metaepi_broad","sts"],"consensus_categories":["metaresearch","metaepi_narrow"],"category_scores_codex":[0.04960866,0.001435594,0.03766254,0.002090132,0.00266432,0.000080317,0.001136956,0.0009058595,0.0003219417],"category_scores_gemma":[0.01604281,0.0009338013,0.003768903,0.001645566,0.0001870703,0.0001398635,0.0002926638,0.001836129,0.0005624424],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00122646,"about_ca_system_score_gemma":0.007763323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008690354,"about_ca_topic_score_gemma":0.0001091336,"domain_scores_codex":[0.9593623,0.01799529,0.01739908,0.00161625,0.001220406,0.002406682],"domain_scores_gemma":[0.9522564,0.01942238,0.02075556,0.002866015,0.001254191,0.003445395],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.006167881,0.000674839,0.000005143822,0.9540502,0.001232103,0.00000267717,0.0002236385,7.184144e-7,1.052768e-8,0.0003992846,0.01122875,0.02601469],"study_design_scores_gemma":[0.07977913,0.001183892,0.00001307477,0.7058876,0.02785095,0.000002351527,0.00008902317,0.000007376336,7.289608e-9,0.00001566273,0.1846781,0.0004929016],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00002826643,0.7845854,0.0004820511,0.0006695051,0.0007716225,0.2109724,0.001138602,0.0003817785,0.0009703914],"genre_scores_gemma":[0.0001464766,0.6588112,0.0003478913,0.003612137,0.0001984178,0.3340506,0.001150416,0.0001493991,0.001533481],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.2481627,"threshold_uncertainty_score":0.9998394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1511477615078509,"score_gpt":0.5356526168334557,"score_spread":0.3845048553256047,"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."}}