{"id":"W3141291727","doi":"10.5555/1739794.1739795","title":"Application of the multivariable predictive control on a distillation column using the optimization methods","year":2008,"lang":"en","type":"article","venue":"Control and Intelligent Systems","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Multivariable calculus; Fractionating column; Model predictive control; Column (typography); Distillation; Chromatography; Control theory (sociology); Computer science; Control (management); Chemistry; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004111254,0.000479001,0.0005900805,0.0002802649,0.0003817473,0.0007193728,0.0005777043,0.0004970467,0.0009803828],"category_scores_gemma":[0.0006462677,0.0002048473,0.0005090286,0.0003511709,0.0004513012,0.0004092808,0.0005080039,0.0006736828,0.0001234014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004427999,"about_ca_system_score_gemma":0.0007523585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003798885,"about_ca_topic_score_gemma":0.002566181,"domain_scores_codex":[0.9996763,0.00009574704,0.00001216516,0.00004706979,0.000147528,0.00002117755],"domain_scores_gemma":[0.9998441,0.00006929813,0.00002094348,0.00001277941,0.00004545531,0.00000748232],"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":[0.0000533724,0.00005451692,0.0003303347,0.0001969283,0.000052688,0.0000651345,0.00005566374,0.8276104,0.0112667,0.02783117,0.0005365521,0.1319465],"study_design_scores_gemma":[0.000006299444,0.00003319873,0.0001152215,0.000005506328,0.000008326241,0.00001026139,0.000003845947,0.9936714,0.003057982,0.002003059,0.001077243,0.000007643743],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01019923,0.0004185491,0.9853916,0.000143447,0.00004089772,0.00002973413,0.00001175563,0.00009301371,0.003671764],"genre_scores_gemma":[0.7230862,0.0009138254,0.2714752,0.00008120026,0.00008984766,0.0001391094,0.00003874012,0.00003587669,0.004140153],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003798885,"threshold_uncertainty_score":0.007553518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01372194939787774,"score_gpt":0.2505863150989864,"score_spread":0.2368643657011087,"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."}}