{"id":"W3129770359","doi":"10.2196/24030","title":"Role of Digital Engagement in Diabetes Care Beyond Measurement: Retrospective Cohort Study","year":2021,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Digital health; Diabetes mellitus; Medicine; Type 2 diabetes; Operationalization; Diabetes management; Cohort; Blood glucose monitoring; Exploratory research; Gerontology; Health care; Internal medicine; Endocrinology","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":[0.004406652,0.0003625301,0.0005178356,0.0008641594,0.00119551,0.001790402,0.0009289056,0.0008567019,0.001719265],"category_scores_gemma":[0.01150391,0.0007070205,0.00107081,0.002347426,0.0004591976,0.001306115,0.001350775,0.001632456,0.0004989285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007050027,"about_ca_system_score_gemma":0.0009833477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01584283,"about_ca_topic_score_gemma":0.01572953,"domain_scores_codex":[0.9962648,0.001109332,0.000535734,0.001074302,0.0005725648,0.0004433169],"domain_scores_gemma":[0.9918149,0.00152094,0.003134231,0.00186034,0.001015152,0.0006544251],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001406455,0.00006053063,0.9982405,0.00002469546,0.00011908,0.00003821626,0.0001956457,0.00002093339,0.0000390418,0.00004988762,0.0003148755,0.0007559855],"study_design_scores_gemma":[0.00003257843,0.0002595753,0.9968032,0.00005924987,0.0001820776,0.0002751917,0.0008372376,0.0003439782,0.00005011647,0.00009665631,0.001042796,0.00001736562],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944951,0.0008064733,0.0007380165,0.000162554,0.00004103313,0.000127272,0.00282468,0.000009842167,0.0007951063],"genre_scores_gemma":[0.9974087,0.0002356782,0.0003639115,0.0001573606,0.00002556685,0.0001394227,0.001412305,0.000009127913,0.0002478723],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01584283,"threshold_uncertainty_score":0.03150123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02886878216144008,"score_gpt":0.3617746806404442,"score_spread":0.3329058984790041,"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."}}