{"id":"W2166774307","doi":"10.1002/acs.767","title":"A pragmatic approach towards assessment of control loop performance","year":2003,"lang":"en","type":"article","venue":"International Journal of Adaptive Control and Signal Processing","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":80,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Benchmark (surveying); PID controller; Control theory (sociology); Loop (graph theory); Controller (irrigation); Open-loop controller; Computer science; Process (computing); Control (management); Control engineering; Simple (philosophy); Step response; Closed loop; Engineering; Artificial intelligence; Mathematics; Temperature control","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":[0.0005521024,0.0001639265,0.0004057435,0.0001869735,0.00004176985,0.00005622444,0.0001694212,0.00005658774,0.00001143418],"category_scores_gemma":[0.00005199241,0.0001363489,0.00007889874,0.00007883746,0.00005504952,0.0006116467,0.000006879777,0.0002198935,3.271532e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001142819,"about_ca_system_score_gemma":0.0001392287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000128978,"about_ca_topic_score_gemma":2.42394e-7,"domain_scores_codex":[0.9984968,0.00008158798,0.000670234,0.0001044775,0.0004949615,0.000151879],"domain_scores_gemma":[0.9984987,0.00007649522,0.0004815297,0.00004726986,0.0008222774,0.00007375042],"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":[0.0001897312,0.00008757044,0.001718285,0.0001488535,0.0005506297,0.00001294785,0.0002365783,0.9181234,0.01239587,0.001356053,0.000009760763,0.06517038],"study_design_scores_gemma":[0.004445845,0.0001833303,0.002358671,0.0002516018,0.00007884531,0.0001681121,0.0001878128,0.9915425,0.0002652431,0.0002854711,0.00008934629,0.0001432866],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01866908,0.001913571,0.9752545,0.00003916594,0.0001654617,0.0001683422,0.000009291917,0.00001830332,0.003762234],"genre_scores_gemma":[0.9821019,0.0000586398,0.01762811,0.00004198227,0.0001223381,0.00001024006,0.000001184972,0.0000195975,0.00001604366],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9634328,"threshold_uncertainty_score":0.5560147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008455395959219111,"score_gpt":0.2382567524244331,"score_spread":0.229801356465214,"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."}}