{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004222395,0.0002349673,0.0004925259,0.0001848061,0.0003184927,0.0002758314,0.00005523944,0.0001625277,0.00008369846],"category_scores_gemma":[0.00001851605,0.0001998523,0.0001339945,0.0002541431,0.0001775176,0.0001226743,0.000001233775,0.0002526129,0.000003552619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006998439,"about_ca_system_score_gemma":0.0003846687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001277453,"about_ca_topic_score_gemma":0.00005084599,"domain_scores_codex":[0.9982311,0.0001765959,0.0003438306,0.0004584918,0.0003947504,0.0003952833],"domain_scores_gemma":[0.9990804,0.00008517618,0.00006841173,0.0003106507,0.0001615657,0.0002938478],"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":[0.0002894443,0.0005228303,0.0002039898,0.001867004,0.001058827,0.0002598513,0.0002239189,0.02109915,0.7821435,0.001072725,0.00007068602,0.1911881],"study_design_scores_gemma":[0.03110546,0.003472009,0.007837975,0.003978749,0.004885055,0.0004516529,0.02265695,0.8069459,0.102603,0.000229132,0.01296691,0.002867179],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8237597,0.002556871,0.1574301,0.001410174,0.001332021,0.001955823,0.0001050673,0.0001799104,0.01127028],"genre_scores_gemma":[0.997471,0.00007627698,0.00006557041,0.0001819981,0.0001383335,0.00003983806,0.000009226263,0.00003526257,0.001982524],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7858467,"threshold_uncertainty_score":0.8149742,"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."}}