{"id":"W2900536151","doi":"10.2196/diabetes.9531","title":"Glucose Control, Disease Burden, and Educational Gaps in People With Type 1 Diabetes: Exploratory Study of an Integrated Mobile Diabetes App","year":2018,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Radboud Universitair Medisch Centrum","keywords":"Diabetes mellitus; Type 2 diabetes; Disease; Medicine; Control (management); Diabetes management; Disease management; Exploratory research; Disease control; Gerontology; Computer science; Environmental health; Endocrinology; Internal medicine; Artificial intelligence","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008010559,0.0003188963,0.0006357105,0.0003268335,0.0005484668,0.00001764581,0.0002718711,0.0001619867,0.0003816271],"category_scores_gemma":[0.0002145595,0.0002635825,0.00002860655,0.0009307857,0.0002499626,0.000315482,0.00007945004,0.0004949434,0.00009338776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001438612,"about_ca_system_score_gemma":0.001358449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001364225,"about_ca_topic_score_gemma":0.002156767,"domain_scores_codex":[0.9964544,0.000736398,0.0008843931,0.0006435516,0.000320096,0.0009611289],"domain_scores_gemma":[0.996419,0.0009203191,0.0004133942,0.0007274707,0.0006829987,0.0008367809],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001831336,0.001274999,0.9856704,0.0008345319,0.0000336775,3.401169e-7,0.004899307,0.00001518951,0.0005308941,0.0001113227,0.001298346,0.005147834],"study_design_scores_gemma":[0.004781717,0.003404376,0.9604662,0.000605144,0.00007954551,4.781271e-8,0.01150138,0.001644795,0.0001056017,0.0003815082,0.01662022,0.0004094761],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9892887,0.001485922,0.000002038172,0.0005597451,0.0002508495,0.008057684,0.0001357,0.0001095648,0.0001098088],"genre_scores_gemma":[0.9599031,0.00008137142,0.0001140304,0.0009173685,0.000525891,0.03809902,0.0001923488,0.00005954247,0.0001073348],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03004134,"threshold_uncertainty_score":0.9999816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01623436493116048,"score_gpt":0.3596410471861907,"score_spread":0.3434066822550302,"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."}}