{"id":"W4213081336","doi":"10.2196/27284","title":"Algorithm-Enabled, Personalized Glucose Management for Type 1 Diabetes at the Population Scale: Prospective Evaluation in Clinical Practice","year":2022,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management and Research","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Diabetes and Digestive and Kidney Diseases","keywords":"Medicine; Population; Type 2 diabetes; Workload; Diabetes management; Psychological intervention; Medical record; Certification; Emergency medicine; Diabetes mellitus; Internal medicine; Computer science; Nursing","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":[0.04446734,0.0007166427,0.0008875664,0.001006466,0.0004920725,0.001831921,0.001122379,0.001320914,0.001866326],"category_scores_gemma":[0.1193576,0.0005570443,0.001414712,0.001288504,0.0007099491,0.001906256,0.001567234,0.001037576,0.0003486028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001119691,"about_ca_system_score_gemma":0.002957176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00241991,"about_ca_topic_score_gemma":0.002193829,"domain_scores_codex":[0.9701087,0.0244138,0.001427601,0.001920942,0.001802019,0.0003269159],"domain_scores_gemma":[0.888055,0.07827333,0.01303955,0.007911671,0.009237264,0.003483192],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.03880115,0.01076589,0.7089003,0.001256639,0.003208395,0.000152687,0.00118113,0.03093583,0.0005176041,0.001125033,0.005014703,0.1981406],"study_design_scores_gemma":[0.02207083,0.1147215,0.5443084,0.001090145,0.003877732,0.0007475904,0.00129246,0.2988006,0.002158735,0.003738956,0.006925065,0.0002680485],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.983963,0.001173369,0.009150033,0.0006424604,0.00009570167,0.001985516,0.0009987005,0.0002817247,0.001709548],"genre_scores_gemma":[0.9645176,0.0005833013,0.0316674,0.0002656877,0.00006727287,0.001589233,0.001131575,0.00002856584,0.000149498],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04446734,"threshold_uncertainty_score":0.2351686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04698650208739828,"score_gpt":0.4111172891859906,"score_spread":0.3641307870985923,"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."}}