{"id":"W7116063745","doi":"10.2196/80582","title":"Digital Health Solutions for Type 2 Diabetes and Prediabetes: Systematic Review of Engagement Barriers, Facilitators, and Outcomes","year":2025,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Digital health; Type 2 diabetes; mHealth; eHealth; Type 2 Diabetes Mellitus; MEDLINE","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":[],"consensus_categories":[],"category_scores_codex":[0.002276632,0.0002489641,0.001203034,0.0001829331,0.001159094,0.00001668299,0.0001614747,0.0001345685,0.00003391968],"category_scores_gemma":[0.003096089,0.0002047083,0.00009036414,0.0003631414,0.0001441589,0.0001449633,0.0001846808,0.00029154,0.00001041993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001261968,"about_ca_system_score_gemma":0.0007463555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005099465,"about_ca_topic_score_gemma":0.000006103581,"domain_scores_codex":[0.9965379,0.0004466532,0.001449523,0.0004092892,0.0001773491,0.000979232],"domain_scores_gemma":[0.9952456,0.003006401,0.0005346364,0.0005089116,0.0002998144,0.0004046198],"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":[0.000003430137,0.00002919422,0.1845563,0.7831244,0.00008885659,1.359445e-8,0.0002252447,1.081057e-7,0.000006717354,0.006621631,0.02226944,0.003074648],"study_design_scores_gemma":[0.004592417,0.001430754,0.1297748,0.6144067,0.000914195,1.685025e-7,0.003371565,0.0008338263,0.00003008625,0.009026232,0.234533,0.001086259],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1739333,0.6923712,0.0003917899,0.03595177,0.00139347,0.08894585,0.004270419,0.0005503661,0.002191823],"genre_scores_gemma":[0.6987182,0.07123776,0.001647146,0.04961058,0.0001740926,0.1729984,0.0006190837,0.0001256155,0.004869161],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6211334,"threshold_uncertainty_score":0.8914928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03878389033878526,"score_gpt":0.4123708851454105,"score_spread":0.3735869948066253,"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."}}