{"id":"W3129309094","doi":"10.1109/tcsi.2021.3058355","title":"Towards Safe and Robust Closed-Loop Artificial Pancreas Using Improved PID-Based Control Strategies","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Circuits and Systems I Regular Papers","topic":"Diabetes Management and Research","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Artificial pancreas; PID controller; Control theory (sociology); Computer science; Closed loop; Meal; Hypoglycemia; Noise (video); Control (management); Medicine; Insulin; Control engineering; Artificial intelligence; Engineering; Diabetes mellitus; Internal medicine; Temperature control; Endocrinology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008617915,0.000714335,0.0005339699,0.0003597642,0.0002367007,0.001121965,0.0007790961,0.0006816429,0.0008201188],"category_scores_gemma":[0.001398663,0.0002766921,0.0005676646,0.0002099616,0.000486378,0.0006112625,0.0006391683,0.0008962691,0.0003038548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000332122,"about_ca_system_score_gemma":0.0005757786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001148718,"about_ca_topic_score_gemma":0.0006626352,"domain_scores_codex":[0.9993314,0.0001185954,0.00005139693,0.0001623554,0.0002798298,0.00005648618],"domain_scores_gemma":[0.9993753,0.0002334509,0.0001214589,0.00007378127,0.0001774833,0.00001853465],"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":[0.0003728885,0.0001835145,0.0008991732,0.000459591,0.0001238089,0.0002919636,0.0002812458,0.640496,0.1182056,0.02031111,0.001045232,0.2173299],"study_design_scores_gemma":[0.00002658693,0.0002654253,0.0002891523,0.00001780368,0.00002746623,0.00008285655,0.00001445313,0.9796942,0.01537717,0.00240137,0.001785441,0.0000181041],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01073817,0.0003522391,0.9867603,0.00005510157,0.00003380221,0.0000265271,0.000008890603,0.0004274904,0.001597445],"genre_scores_gemma":[0.8441003,0.0005162546,0.1528849,0.0001247211,0.00003984449,0.0001054586,0.00005080838,0.00005582147,0.002121843],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001148718,"threshold_uncertainty_score":0.004557669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03968663400356692,"score_gpt":0.2697333451992707,"score_spread":0.2300467111957038,"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."}}