{"id":"W1523744982","doi":"10.1109/iembs.2006.260810","title":"Mixed Meal Simulation Model of Glucose-Insulin System","year":2006,"lang":"en","type":"article","venue":"","topic":"Diabetes Management and Research","field":"Medicine","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Nutrition, Metabolism and Diabetes","funders":"National Institute of Biomedical Imaging and Bioengineering","keywords":"Postprandial; Insulin; Meal; Diabetes mellitus; Pathophysiology; Computer science; Endocrinology; Medicine; Internal medicine","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":[0.0001788083,0.00005113808,0.0001355371,0.00009840438,0.00001825917,0.000006405132,0.00004163442,0.00003629315,0.00004156157],"category_scores_gemma":[0.00001269569,0.00003713635,0.00004612057,0.0001158462,0.00001999474,0.00003676932,0.00002699054,0.00004107906,0.00004660671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003117279,"about_ca_system_score_gemma":0.00001791669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005210324,"about_ca_topic_score_gemma":0.000006553163,"domain_scores_codex":[0.9993042,0.00001341499,0.0001707544,0.00009626932,0.000285476,0.0001299225],"domain_scores_gemma":[0.9996757,0.00002879115,0.00003071105,0.0001408116,0.00009186453,0.00003211949],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003661113,0.0006816937,0.01092085,0.002365736,0.0001483667,0.00001457644,0.00004972442,0.8142576,0.03872069,0.09762639,0.007485942,0.0273623],"study_design_scores_gemma":[0.0009054926,0.00005483596,0.003578166,0.00004309974,0.00003078299,7.566089e-8,0.00003836564,0.9867668,0.00815714,0.0001663315,0.0002207202,0.00003825719],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7794393,0.00008565867,0.02220428,0.0001816476,0.00004676457,0.0003400256,0.000001903458,0.00009159591,0.1976088],"genre_scores_gemma":[0.981312,0.000001394208,0.001387391,0.00001652973,0.00006416241,0.000003741459,0.0000197307,0.000008157112,0.01718694],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2018726,"threshold_uncertainty_score":0.1514377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04585317821679896,"score_gpt":0.2900777528971661,"score_spread":0.2442245746803672,"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."}}