{"id":"W2029546842","doi":"10.1177/193229680900300123","title":"Incorporating a Generic Model of Subcutaneous Insulin Absorption into the AIDA v4 Diabetes Simulator 3. Early Plasma Insulin Determinations","year":2009,"lang":"en","type":"article","venue":"Journal of Diabetes Science and Technology","topic":"Diabetes Management and Research","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Insulin; Absorption (acoustics); Diabetes mellitus; Pharmacokinetics; Chemistry; Computer science; Physics; Medicine; Endocrinology; Pharmacology","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":[0.001247311,0.0001352768,0.0003541211,0.00126102,0.0002439059,0.00006440165,0.000483905,0.0001255642,0.000003427727],"category_scores_gemma":[0.0008897435,0.00008748491,0.00006215875,0.00212066,0.001149503,0.0003654788,0.0001475659,0.0003984492,0.000002686671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007476634,"about_ca_system_score_gemma":0.000277121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001010968,"about_ca_topic_score_gemma":0.000001717233,"domain_scores_codex":[0.998201,0.0000259996,0.0005192547,0.0002036094,0.0006714218,0.0003787283],"domain_scores_gemma":[0.9981923,0.0001128775,0.0004513455,0.0002565268,0.0008739169,0.0001130265],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002931332,0.0002537336,0.08001353,0.00006674337,0.00005100667,0.00001657136,0.0003661629,0.001086683,0.5507168,0.001626152,0.00003460907,0.3657387],"study_design_scores_gemma":[0.002432215,0.008241684,0.04187299,0.0004155965,0.000232369,0.00002706464,0.0005366942,0.7753062,0.1218536,0.04862729,0.0001109322,0.0003433208],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952016,0.0006625153,0.00005326637,0.00362074,0.00006015832,0.0002188883,0.000001225938,0.0000262333,0.0001553609],"genre_scores_gemma":[0.9970373,0.00008043458,0.002592322,0.0001785218,0.00004884746,0.000004279827,5.613497e-7,0.00000816663,0.00004956194],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7742196,"threshold_uncertainty_score":0.4235393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01435699411010257,"score_gpt":0.2648200946726934,"score_spread":0.2504631005625909,"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."}}