{"id":"W4313545772","doi":"10.2196/43991","title":"Glycemic Outcomes and Feature Set Engagement Among Real-Time Continuous Glucose Monitoring Users With Type 1 or Non–Insulin-Treated Type 2 Diabetes: Retrospective Analysis of Real-World Data","year":2023,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management and Research","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Dexcom","keywords":"Medicine; Type 1 diabetes; Hypoglycemia; Glycemic; Continuous glucose monitoring; Context (archaeology); Insulin; Cohort; Retrospective cohort study; Type 2 diabetes; Diabetes mellitus; Internal medicine; Endocrinology; Biology","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":[0.00247958,0.0003015691,0.0004687157,0.001471031,0.0003418899,0.001010708,0.0004710172,0.0004318151,0.0007657796],"category_scores_gemma":[0.008271876,0.0003079902,0.0008299983,0.002873968,0.0003773088,0.0009788522,0.0007399903,0.0007946551,0.0001852908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004808808,"about_ca_system_score_gemma":0.000480709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004775037,"about_ca_topic_score_gemma":0.003911814,"domain_scores_codex":[0.9973049,0.0006826086,0.0006332004,0.0005751291,0.0005523686,0.0002517767],"domain_scores_gemma":[0.9864724,0.002826464,0.007932116,0.001126532,0.001014228,0.0006282519],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001192119,0.00002530424,0.998941,0.00001382784,0.00006127964,0.00001901613,0.00005236764,0.00003928366,0.00003320972,0.000007829311,0.00008774924,0.0005998666],"study_design_scores_gemma":[0.000008319359,0.000135744,0.9986095,0.00002142564,0.0000495194,0.0002049762,0.0002690271,0.0003937786,0.00008444284,0.00001544999,0.0002001861,0.000007523746],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974496,0.0002392969,0.0001826821,0.00003049107,0.000004381868,0.00002046707,0.001859157,0.00000453077,0.0002093552],"genre_scores_gemma":[0.9976771,0.0001167933,0.0001870437,0.00003357609,0.000007343857,0.00003833,0.001903687,0.000003451509,0.00003263157],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004775037,"threshold_uncertainty_score":0.01311344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04161985683057156,"score_gpt":0.3437463162906803,"score_spread":0.3021264594601087,"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."}}