{"id":"W4401622808","doi":"10.1177/19322968241267820","title":"Refining Insulin on Board with netIOB for Automated Insulin Delivery","year":2024,"lang":"en","type":"review","venue":"Journal of Diabetes Science and Technology","topic":"Diabetes Management and Research","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Leona M. and Harry B. Helmsley Charitable Trust","keywords":"Insulin; Hypoglycemia; Insulin delivery; Bolus (digestion); Glucose meter; Computer science; Medicine; Diabetes mellitus; Internal medicine; Endocrinology; Type 1 diabetes","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001496595,0.0002760381,0.001307701,0.00294959,0.0001395048,0.0001251138,0.0005007386,0.0002988511,0.00000528113],"category_scores_gemma":[0.0006074905,0.0001523709,0.0001549462,0.002909548,0.0009783336,0.0001480491,0.0002128826,0.0008904456,0.00002222894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001621704,"about_ca_system_score_gemma":0.001042774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":3.271296e-7,"about_ca_topic_score_gemma":5.510581e-7,"domain_scores_codex":[0.9978067,0.00002216277,0.0005802441,0.0003882917,0.0006586832,0.0005439046],"domain_scores_gemma":[0.9983574,0.0001497799,0.0004173331,0.0002723094,0.0006532848,0.0001499147],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000162669,0.00007129095,0.0001335305,0.006157572,0.0002383047,0.00005384805,0.000006294264,4.72329e-7,0.00003411662,0.0003485099,0.002119059,0.9908207],"study_design_scores_gemma":[0.000836593,0.005636837,0.00004290532,0.02805982,0.001515439,0.00003543609,0.00003738781,0.000492818,0.0000495243,0.0002159241,0.9628492,0.0002280933],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.009811183,0.9876934,0.000001633449,0.001234321,0.0002424888,0.0004404012,0.000006893451,0.0001503996,0.0004192952],"genre_scores_gemma":[0.001588044,0.9959073,0.001714542,0.0001221791,0.0001513622,0.00004362466,0.000004425556,0.00004116051,0.0004273361],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9905927,"threshold_uncertainty_score":0.6213505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03746546778282695,"score_gpt":0.3555876497145106,"score_spread":0.3181221819316836,"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."}}