{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003041086,0.0002283344,0.0004738852,0.0001818353,0.00008020095,0.00002985035,0.0003480917,0.0001623862,0.0002977437],"category_scores_gemma":[0.001353914,0.0001842374,0.0001353516,0.0002510163,0.0001188564,0.0002426048,0.00003960672,0.0002377107,0.0000208719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007420252,"about_ca_system_score_gemma":0.0002177437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007484746,"about_ca_topic_score_gemma":0.000002679676,"domain_scores_codex":[0.9982058,0.00003210883,0.0004978834,0.0003531547,0.0005274893,0.000383564],"domain_scores_gemma":[0.9974403,0.0003561509,0.0002835385,0.0002026982,0.001571408,0.0001458556],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.1103131,0.008390282,0.02427667,0.001518667,0.007248113,0.00007118984,0.0004770048,0.006089274,0.1727758,0.01833274,0.005222847,0.6452843],"study_design_scores_gemma":[0.2021217,0.04789489,0.002964746,0.003271743,0.00172808,0.000007053482,0.0005373117,0.01046553,0.5555699,0.009577964,0.163972,0.001889091],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8453204,0.003725814,0.004003296,0.01512756,0.004943682,0.00997703,0.0006922337,0.0003954854,0.1158145],"genre_scores_gemma":[0.9966627,0.0001154565,0.0001578597,0.0005991311,0.0006002036,0.000191489,0.0000561739,0.00003337026,0.001583592],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6433952,"threshold_uncertainty_score":0.7512984,"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."}}