{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001177898,0.0006146925,0.0008946088,0.002226171,0.0002841414,0.001617373,0.001091434,0.001579635,0.004126934],"category_scores_gemma":[0.001932647,0.0002638861,0.0008499455,0.001583577,0.0006420779,0.0019663,0.0007802017,0.002838745,0.003257149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007757317,"about_ca_system_score_gemma":0.001031933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001752367,"about_ca_topic_score_gemma":0.002623087,"domain_scores_codex":[0.9993461,0.0001413525,0.0001089134,0.0001090944,0.0002548934,0.00003966429],"domain_scores_gemma":[0.9993861,0.0003343014,0.00008263208,0.00001834967,0.0001550982,0.00002343483],"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":[0.0001049537,0.00006101697,0.0001627139,0.0197968,0.0000903855,0.0002044825,0.0001359649,0.0002194782,0.001337581,0.01217094,0.03070574,0.9350098],"study_design_scores_gemma":[0.000013513,0.00006634468,0.0003658821,0.003950209,0.0000607909,0.0006962998,0.00004444115,0.00008723073,0.0005407962,0.001541378,0.9926159,0.0000171857],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002163173,0.9936748,0.0005661366,0.00116007,0.001077465,0.00001170149,0.00002765747,0.00001869634,0.00324721],"genre_scores_gemma":[0.001550711,0.9934683,0.0009218125,0.001401456,0.0004739842,0.0000177762,0.00005586153,0.00001092008,0.002099188],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004126934,"threshold_uncertainty_score":0.01380599,"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."}}