{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005886956,0.0001887876,0.0003541111,0.0002356216,0.0004280337,0.00006820981,0.0002151865,0.00006597589,0.0007209645],"category_scores_gemma":[0.0006370769,0.0001432727,0.0001727854,0.00080959,0.0001147017,0.0002228999,0.0004292115,0.0003663736,0.00004666053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006514468,"about_ca_system_score_gemma":0.00005851343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000541422,"about_ca_topic_score_gemma":0.000007708114,"domain_scores_codex":[0.9965719,0.0006140859,0.0004947,0.0005487291,0.001209165,0.0005614475],"domain_scores_gemma":[0.9982295,0.0007431911,0.0002011934,0.0004191493,0.0003187635,0.00008816986],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006470719,0.001337083,0.606246,0.0003207406,0.0005081204,0.000006641472,0.0003000023,0.0001162419,0.0001513457,0.0003964065,0.0135244,0.3764459],"study_design_scores_gemma":[0.008577386,0.00152017,0.8320187,0.00009974035,0.0006911389,4.702074e-7,0.001395632,0.05246335,0.000226597,0.002528492,0.1001605,0.0003178311],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9810562,0.001898644,0.00001191043,0.004398378,0.0005338718,0.00850459,0.00002258228,0.00006717191,0.003506715],"genre_scores_gemma":[0.9613505,0.0001089917,0.004217186,0.002180254,0.0004982916,0.01137021,0.001085748,0.00008936799,0.01909947],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3761281,"threshold_uncertainty_score":0.7894055,"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."}}