{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003501932,0.0002704395,0.0005582311,0.0001724117,0.0000454351,0.00004724018,0.0004159058,0.0004888157,0.0001063732],"category_scores_gemma":[0.0007669976,0.0003151853,0.00007921197,0.001014333,0.00004708809,0.0001598557,0.0000345907,0.00116751,0.000008854237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005423773,"about_ca_system_score_gemma":0.0001041182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004290367,"about_ca_topic_score_gemma":6.1125e-7,"domain_scores_codex":[0.9973411,0.0003866048,0.0007116525,0.0003368755,0.0005171997,0.0007065891],"domain_scores_gemma":[0.9979895,0.001138721,0.00005345482,0.0005216934,0.0001408734,0.0001557409],"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":[0.000255968,0.000007018717,0.00002731398,0.0002079932,0.00004119768,0.00001306101,0.00004300648,0.5236665,0.4749974,0.000004448341,0.0000139855,0.0007220835],"study_design_scores_gemma":[0.002203476,0.00002491805,0.00003004463,0.0004949441,0.00001536617,0.00001988609,0.0000900751,0.890953,0.1033432,0.000001772007,0.002591779,0.0002315581],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9342501,0.004373658,0.0560671,0.0001057799,0.0004249722,0.001746071,0.0001473918,0.001141696,0.001743266],"genre_scores_gemma":[0.9966913,0.00002081369,0.002048888,4.314295e-7,0.0001255786,0.00007616319,0.000008615721,0.00009530127,0.0009329445],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3716542,"threshold_uncertainty_score":0.99993,"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."}}