{"id":"W2520349907","doi":"10.1109/mcs.2016.2584318","title":"The Artificial Pancreas: How Closed-Loop Control Is Revolutionizing Diabetes","year":2016,"lang":"en","type":"article","venue":"IEEE Control Systems","topic":"Diabetes Management and Research","field":"Medicine","cited_by":143,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Institut de Recherche Clinique De Montréal; University of Cambridge; National Institutes of Health; Canadian Diabetes Association; Eli Lilly and Company","keywords":"Artificial pancreas; Controller (irrigation); Computer science; Control engineering; Type 1 diabetes; Control system; Diabetes mellitus; Artificial intelligence; Simulation; Medicine; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001684892,0.000238327,0.0005760731,0.0001208743,0.000406305,0.0002826346,0.0002855046,0.0001344395,0.00003081458],"category_scores_gemma":[0.0005153299,0.0001170666,0.0002336118,0.0001998243,0.0002360243,0.0001679459,0.00002496859,0.0001824843,0.0004190116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001436596,"about_ca_system_score_gemma":0.0001015014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002796361,"about_ca_topic_score_gemma":0.000007807862,"domain_scores_codex":[0.9972133,0.000331094,0.0004265887,0.0003923292,0.000740685,0.0008959759],"domain_scores_gemma":[0.9976564,0.0009101149,0.0001937778,0.0006629789,0.0003448268,0.0002318795],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00140493,0.0003541321,0.1546337,0.000797703,0.003638737,0.00008901115,0.0001068019,0.00002114459,0.402326,0.01350482,0.2357907,0.1873322],"study_design_scores_gemma":[0.04079641,0.001967277,0.03894841,0.003777914,0.001897322,0.00001513798,0.0007257423,0.05431651,0.006543223,0.001732942,0.8477346,0.001544464],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7447826,0.03404311,0.01556323,0.1608822,0.01085703,0.01233256,0.0002929087,0.0009923936,0.02025393],"genre_scores_gemma":[0.9698812,0.00007780141,0.000003616516,0.0005246646,0.002216809,0.0003223544,0.000002201235,0.00004070595,0.02693062],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6119439,"threshold_uncertainty_score":0.5385686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0210321691849375,"score_gpt":0.2508629522966312,"score_spread":0.2298307831116937,"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."}}