{"id":"W2142538109","doi":"","title":"A Feedback Glucose Control Strategy for Type II Diabetes Mellitus","year":2011,"lang":"en","type":"article","venue":"International Symposium on Advanced Control of Industrial Processes","topic":"Diabetes Management and Research","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Medicine; Glycemic; Insulin; Diabetes mellitus; PID controller; Type 2 Diabetes Mellitus; Internal medicine; Endocrinology; Insulin pump; Controller (irrigation); Type 1 diabetes; Artificial pancreas; Control theory (sociology); Computer science; Control (management); Biology; Engineering; Temperature control; Control engineering","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":[0.0001355289,0.0003266864,0.0002332619,0.0001465936,0.0001936741,0.0004484532,0.000313011,0.0002994453,0.001527735],"category_scores_gemma":[0.0003954745,0.00006795806,0.0001902518,0.0000948133,0.0001411671,0.0001553175,0.0002376511,0.00025172,0.0001614286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001693449,"about_ca_system_score_gemma":0.0002678135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002509599,"about_ca_topic_score_gemma":0.001130844,"domain_scores_codex":[0.9999377,0.00001846265,0.000003863396,0.00001169454,0.00001857873,0.000009718174],"domain_scores_gemma":[0.9999253,0.00002973486,0.00001287921,0.000004175443,0.000019896,0.000008070537],"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":[0.001253054,0.0006959243,0.002859986,0.0004264966,0.0001065765,0.001654127,0.0004250953,0.4518327,0.09146348,0.01150855,0.003707989,0.434066],"study_design_scores_gemma":[0.0001742005,0.001337052,0.00137976,0.00002909309,0.00006097844,0.0003536029,0.00005581285,0.979055,0.01172398,0.00209932,0.003710246,0.00002086461],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2269993,0.001129219,0.7553812,0.0004398683,0.0002125983,0.0001445058,0.00005678164,0.002009226,0.0136273],"genre_scores_gemma":[0.9801497,0.0002154404,0.01750289,0.00008904147,0.00001877884,0.00003908344,0.00002521249,0.00001280415,0.001947052],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002509599,"threshold_uncertainty_score":0.005110741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06398226696293323,"score_gpt":0.3181548513527557,"score_spread":0.2541725843898224,"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."}}