{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001280726,0.0002217274,0.0006210613,0.0001715817,0.0004510113,0.00001594979,0.0002065006,0.0001544101,0.0003057756],"category_scores_gemma":[0.0004952881,0.0002212974,0.00007930247,0.000653946,0.00005166034,0.0001547112,0.0001976009,0.0006985277,0.0002162035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007160192,"about_ca_system_score_gemma":0.000795153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003881587,"about_ca_topic_score_gemma":0.0005323843,"domain_scores_codex":[0.9962795,0.000564505,0.0009895089,0.0005762386,0.0007020414,0.0008882413],"domain_scores_gemma":[0.997473,0.0003149386,0.000331819,0.000678144,0.0009343914,0.0002676818],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000007119376,0.000628539,0.9884176,0.0005696518,0.00004372182,8.310641e-7,0.003929535,0.000001863184,0.0007212764,0.0004409771,0.0008687798,0.004370079],"study_design_scores_gemma":[0.001105062,0.0001859174,0.9675993,0.0001782271,0.00003062425,1.934837e-8,0.01736358,0.00001649485,0.0005641303,0.001122114,0.01167313,0.0001614176],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9718614,0.002000668,8.757172e-7,0.0002714311,0.0002006796,0.007869072,0.0002028237,0.00007946235,0.01751365],"genre_scores_gemma":[0.9750595,0.00005443665,0.00004927806,0.0003176767,0.000134554,0.0241349,0.0001183692,0.00003652631,0.00009477902],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02081834,"threshold_uncertainty_score":0.9024248,"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."}}