{"id":"W1998651085","doi":"10.1021/ie990311m","title":"Response Surface Tuning Methods in Dynamic Matrix Control of a Pressure Tank System","year":2000,"lang":"en","type":"article","venue":"Industrial & Engineering Chemistry Research","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Multivariable calculus; Subspace topology; Control theory (sociology); Matrix (chemical analysis); Computer science; Range (aeronautics); Nonlinear system; Pressure control; Algorithm; Control (management); Control engineering; Materials science; Engineering; Chemistry; Mechanical engineering; Artificial intelligence; Chromatography","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":[0.0008981635,0.0005096741,0.0004684536,0.0002442586,0.0002204144,0.0004553389,0.0003934032,0.0005545586,0.001852236],"category_scores_gemma":[0.00151632,0.0002078028,0.0002503426,0.0003161459,0.0004900082,0.0003908775,0.0003542205,0.0006963279,0.0004143501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002387007,"about_ca_system_score_gemma":0.0003018858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00150751,"about_ca_topic_score_gemma":0.001045226,"domain_scores_codex":[0.9995672,0.0002027173,0.00001651367,0.00005343775,0.0001377381,0.00002236636],"domain_scores_gemma":[0.9996105,0.0002571834,0.00003546879,0.0000227505,0.00006597437,0.00000804569],"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":[0.0002155189,0.0001257047,0.0002048439,0.000310091,0.00004328631,0.00009292835,0.0001479966,0.6818472,0.06416493,0.02634426,0.001142577,0.2253606],"study_design_scores_gemma":[0.00001355006,0.000070196,0.00007268532,0.000004498939,0.000002474904,0.00001113973,0.000005734185,0.9929396,0.004337564,0.0016572,0.0008781294,0.000007213974],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01031107,0.0002135687,0.9867257,0.0001109211,0.00002277391,0.00003573383,0.00001125346,0.0004934484,0.002075521],"genre_scores_gemma":[0.6326914,0.0004362868,0.3614854,0.0001207983,0.00004704153,0.0003504936,0.00005593586,0.000144275,0.004668386],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001852236,"threshold_uncertainty_score":0.00619638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02735050334575865,"score_gpt":0.3485575824113358,"score_spread":0.3212070790655772,"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."}}