{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035545,0.0006090591,0.0007858366,0.0002896465,0.0004049582,0.0009007213,0.00119032,0.001152785,0.005668723],"category_scores_gemma":[0.001209455,0.0003282242,0.0008160508,0.0003808266,0.0004074121,0.0007876408,0.0006073913,0.0009017697,0.0006199863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000608438,"about_ca_system_score_gemma":0.000710604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0119513,"about_ca_topic_score_gemma":0.004087449,"domain_scores_codex":[0.999774,0.00008778255,0.00001295934,0.00004929747,0.000039804,0.00003611175],"domain_scores_gemma":[0.9996148,0.0001866849,0.00004863108,0.00002870213,0.00008317817,0.00003799233],"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":[0.00008636911,0.0000228904,0.0006015453,0.0000230614,0.00002325602,0.00007108846,0.00002467014,0.9918989,0.001031823,0.004768591,0.0001700495,0.001277909],"study_design_scores_gemma":[0.00001370286,0.00001882611,0.0001074011,0.000001391463,0.000005896225,0.00000978516,0.00000334372,0.9987006,0.0001418191,0.0007903693,0.0002032856,0.000003510082],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2341164,0.0006269744,0.74187,0.0006443139,0.000180479,0.0001603608,0.001473901,0.0009643307,0.01996318],"genre_scores_gemma":[0.9610513,0.0003154653,0.02525928,0.00009759742,0.00003879075,0.00037991,0.0007358642,0.00006191505,0.01205966],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0119513,"threshold_uncertainty_score":0.02376348,"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."}}