{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00997486,0.000784337,0.0009817829,0.001036614,0.000420109,0.002461319,0.001156385,0.001526816,0.00135998],"category_scores_gemma":[0.03466623,0.0002950502,0.0004040096,0.0006954717,0.001130774,0.001698043,0.001152038,0.001047623,0.000335365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001093597,"about_ca_system_score_gemma":0.0007457571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001142525,"about_ca_topic_score_gemma":0.000501777,"domain_scores_codex":[0.9918058,0.00348553,0.000345401,0.0008951988,0.003067616,0.000400477],"domain_scores_gemma":[0.9848635,0.008996818,0.001934943,0.001048251,0.002904178,0.0002523485],"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":[0.002089587,0.0002991993,0.008337427,0.0004842084,0.0001901239,0.0001875298,0.0004148206,0.785404,0.03626647,0.01785748,0.0009421616,0.1475269],"study_design_scores_gemma":[0.00006703319,0.001767962,0.007119476,0.00004923566,0.00003188077,0.0001041822,0.0001083165,0.9475256,0.03412506,0.00829903,0.0007330807,0.00006911161],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4209985,0.0007859133,0.5671332,0.000457468,0.00008437293,0.000135358,0.00007686816,0.00121396,0.009114406],"genre_scores_gemma":[0.9925991,0.00003218608,0.006957468,0.00002427745,0.000007419416,0.00002294163,0.00003625359,0.00002724843,0.0002931344],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00997486,"threshold_uncertainty_score":0.05275267,"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."}}