{"id":"W4408370635","doi":"10.1002/cjce.25672","title":"An improved dynamic matrix control with output penalty for industrial processes","year":2025,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Control (management); Matrix (chemical analysis); Computer science; Control theory (sociology); Materials science; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001712753,0.0001462913,0.0002488018,0.000145059,0.00004867754,0.00007087023,0.0002671063,0.00009907607,0.000001939017],"category_scores_gemma":[0.000247616,0.000109162,0.00004542579,0.0002226369,0.00002361466,0.0001789936,0.000002216643,0.0002862077,2.201936e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003190487,"about_ca_system_score_gemma":0.0004952467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008475673,"about_ca_topic_score_gemma":0.0003790727,"domain_scores_codex":[0.9992518,0.000006892768,0.0003048963,0.00007729084,0.00008086214,0.0002782659],"domain_scores_gemma":[0.9992508,0.0001196861,0.00007179684,0.0001326362,0.000209943,0.000215178],"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":[0.00005398631,0.000002357089,0.00002855505,0.00009928066,0.0001034839,0.000003251998,0.00005159503,0.9757814,0.02299027,0.00008505001,0.00005298721,0.00074772],"study_design_scores_gemma":[0.002268284,0.00006356759,0.00001137444,0.00019731,0.00009583832,0.0000402468,0.00001763582,0.9882225,0.007961921,0.00007367751,0.000875122,0.0001724662],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1047673,0.001166797,0.8921227,0.0004987154,0.0005897679,0.0006584341,0.00004108867,0.00009722568,0.00005789202],"genre_scores_gemma":[0.9976534,0.000001225691,0.002043022,0.0000242494,0.0001922959,0.0000242773,0.000003718444,0.00003451037,0.00002331733],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8928861,"threshold_uncertainty_score":0.4451497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004414488211171009,"score_gpt":0.200130137047571,"score_spread":0.1957156488363999,"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."}}