{"id":"W2009345421","doi":"10.1002/cjce.5450830412","title":"A Comparison of PID Controller Tuning Methods","year":2005,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Advanced Control Systems Design","field":"Engineering","cited_by":124,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"PID controller; Control theory (sociology); Computer science; Control engineering; Engineering; Control (management); Artificial intelligence; Temperature control","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002636106,0.0006686086,0.000715303,0.001418146,0.0004604209,0.001066998,0.001106969,0.0008291308,0.002987324],"category_scores_gemma":[0.006534846,0.0003575655,0.0004425225,0.0008239135,0.0002012673,0.0006537093,0.0005577261,0.0004966882,0.0006965692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005031087,"about_ca_system_score_gemma":0.0005331771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002273396,"about_ca_topic_score_gemma":0.001322873,"domain_scores_codex":[0.998689,0.0003032576,0.0001268106,0.0001840826,0.0006328869,0.00006403847],"domain_scores_gemma":[0.9973472,0.001268134,0.0001289465,0.0003247937,0.0008840139,0.0000468135],"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":[0.001757251,0.0003387142,0.002194195,0.00085907,0.0001627164,0.0000498935,0.0001682692,0.103877,0.03606334,0.002009231,0.001815264,0.850705],"study_design_scores_gemma":[0.0004663111,0.001616301,0.007430294,0.0001338447,0.0001637297,0.0002816571,0.0001075922,0.9010627,0.07541988,0.001222145,0.01198004,0.0001155937],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1866222,0.005535772,0.7814035,0.000227516,0.0005035501,0.0004865639,0.0002808037,0.006451742,0.01848827],"genre_scores_gemma":[0.8159557,0.0007741224,0.178892,0.00008282014,0.00004599697,0.0002252118,0.0002398849,0.0002333921,0.003550922],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002987324,"threshold_uncertainty_score":0.01394123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01861204260876835,"score_gpt":0.2754879439406756,"score_spread":0.2568759013319072,"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."}}