{"id":"W4386927494","doi":"10.1002/cjce.25101","title":"Plant‐wide control for processes with recycle and narrow feasible sets","year":2023,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Departamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS)","keywords":"Controllability; Context (archaeology); Process (computing); Set (abstract data type); Computer science; Control (management); Stability (learning theory); Model predictive control; Control engineering; Engineering; 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":[0.0001335331,0.0001004806,0.0001660624,0.0001026983,0.00004342639,0.00003989496,0.0001089413,0.00004460356,0.000001424036],"category_scores_gemma":[0.0003036722,0.00007518868,0.00002173947,0.0002025378,0.00001877234,0.0001189963,0.000002120834,0.000128421,7.520992e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008579831,"about_ca_system_score_gemma":0.0001313921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003861026,"about_ca_topic_score_gemma":0.0002647225,"domain_scores_codex":[0.9994493,0.000003444881,0.0001697191,0.00005522141,0.00007980984,0.0002424828],"domain_scores_gemma":[0.9993511,0.0002506768,0.00004018677,0.00006645395,0.00008398851,0.0002075884],"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":[0.00001770471,5.40039e-7,0.0001203642,0.0001803063,0.00004729958,0.00001451062,0.0001567536,0.9912387,0.007541358,0.00005625,0.0004626328,0.0001636124],"study_design_scores_gemma":[0.002553616,0.00008055563,0.0001785706,0.0005133155,0.00008814425,0.00043775,0.00005384875,0.965753,0.02603104,0.0003439423,0.003578495,0.0003877091],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8724244,0.004242728,0.1187101,0.002289265,0.0006268052,0.0009644409,0.0001458604,0.0003842509,0.0002122131],"genre_scores_gemma":[0.9989128,0.000005664207,0.0008925513,0.00002333277,0.00009804151,0.00001610232,0.000003664072,0.00003668228,0.0000111587],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1264884,"threshold_uncertainty_score":0.3066105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006477570722036105,"score_gpt":0.178025993798626,"score_spread":0.1715484230765899,"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."}}