{"id":"W2618020710","doi":"10.1002/acs.773","title":"Controller performance assessment in set point tracking and regulatory control","year":2003,"lang":"en","type":"article","venue":"International Journal of Adaptive Control and Signal Processing","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Benchmarking; Control theory (sociology); Variance (accounting); Controller (irrigation); Set (abstract data type); Minimum-variance unbiased estimator; Control (management); Point (geometry); Set point; Variable (mathematics); Computer science; Measure (data warehouse); Constant (computer programming); Tracking (education); Control engineering; Engineering; Mathematics; Statistics; Artificial intelligence; Economics; Data mining; Psychology","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":[0.0007846163,0.0001712178,0.0003788304,0.00024813,0.00006008687,0.0001383874,0.00009951246,0.0000710446,0.00001321844],"category_scores_gemma":[0.00003372153,0.0001454889,0.00006422609,0.00006470043,0.00005466403,0.000564829,0.000005484399,0.0003538833,6.457649e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001282631,"about_ca_system_score_gemma":0.00006899836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000401989,"about_ca_topic_score_gemma":0.000004548179,"domain_scores_codex":[0.9986346,0.0001007657,0.0005879307,0.000129041,0.0003648188,0.0001828395],"domain_scores_gemma":[0.9992054,0.0001076099,0.0002229934,0.00003229023,0.0003336477,0.00009805524],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003430781,0.0002557463,0.07044778,0.0002718511,0.00212121,0.0004170227,0.002904152,0.1878822,0.1687037,0.003106375,0.0001851959,0.560274],"study_design_scores_gemma":[0.0155219,0.0002831018,0.05633124,0.0004728566,0.00005783431,0.0005984119,0.0008917934,0.9235092,0.0005235004,0.0005678471,0.0009576213,0.000284662],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8354892,0.007072978,0.1546914,0.0002836288,0.0005222516,0.0002768742,0.00001097064,0.00004005574,0.001612623],"genre_scores_gemma":[0.9993454,0.00008056456,0.0001922451,0.0001719755,0.0001622746,0.000008790046,2.582887e-7,0.00001683342,0.00002164363],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7356271,"threshold_uncertainty_score":0.5932866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0102628998481717,"score_gpt":0.23800131324647,"score_spread":0.2277384133982983,"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."}}