{"id":"W2016462771","doi":"10.1002/cjce.5450800212","title":"Generic model controller tuning for chemical processes with input saturation","year":2002,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Control theory (sociology); Nonlinear system; Computer science; Heuristic; MIMO; Controller (irrigation); Simple (philosophy); Control engineering; Process (computing); Process control; Control (management); Engineering; Artificial intelligence; Channel (broadcasting)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.00008321849,0.0001483264,0.0002202485,0.0000894999,0.00004258587,0.00005337152,0.000174549,0.00007704997,0.000004150231],"category_scores_gemma":[0.0002349959,0.0001104801,0.00004760854,0.0001994874,0.00002318596,0.00019519,0.000002958179,0.000214804,7.654655e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002354024,"about_ca_system_score_gemma":0.00009268128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009945808,"about_ca_topic_score_gemma":0.00003712856,"domain_scores_codex":[0.9992449,0.000003374038,0.0002815661,0.00007360915,0.0001239645,0.0002725968],"domain_scores_gemma":[0.9993306,0.0000977426,0.00007297184,0.00008604403,0.0001942206,0.000218371],"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":[0.000008462086,0.00000134004,0.000002108893,0.00005924236,0.00003918137,0.000002069577,0.0002121948,0.8702732,0.1289524,0.00008549084,0.0001037152,0.0002605274],"study_design_scores_gemma":[0.0006439216,0.00001351303,3.750497e-7,0.00008795015,0.00003245204,0.0001007919,0.000004795737,0.9803687,0.01823833,0.00004601108,0.0003238023,0.0001393649],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.071415,0.002132148,0.9254981,0.0002739569,0.0001388823,0.0002987112,0.000008575216,0.00007749374,0.0001571573],"genre_scores_gemma":[0.9878722,0.000006594578,0.01173176,0.00003531996,0.0002660431,0.00002207382,0.000002252943,0.00004848715,0.00001528631],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9164572,"threshold_uncertainty_score":0.4505249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00985954687203413,"score_gpt":0.1656278953893701,"score_spread":0.155768348517336,"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."}}