{"id":"W4402260979","doi":"10.23919/acc60939.2024.10644536","title":"Data-Driven Modeling and Control of Semicontinuous Distillation Process","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Process (computing); Process control; Computer science; Distillation; Control (management); Process engineering; Data modeling; Artificial intelligence; Engineering; Chromatography; Chemistry; Software engineering; Programming language","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004720251,0.0006880999,0.000783503,0.000364217,0.0004272893,0.001024674,0.0008067829,0.0006022439,0.001495941],"category_scores_gemma":[0.0005668841,0.0004225703,0.0006106183,0.0004960939,0.0004791374,0.0006157588,0.0006982899,0.0008503202,0.0002360613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006581321,"about_ca_system_score_gemma":0.001507893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01650174,"about_ca_topic_score_gemma":0.007291656,"domain_scores_codex":[0.9997146,0.00005175915,0.00001628115,0.00006577631,0.0001235284,0.00002796052],"domain_scores_gemma":[0.9997227,0.0000931348,0.00005632332,0.00002438064,0.00009043867,0.00001295917],"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":[0.00003248269,0.00001297215,0.0001581925,0.00003345007,0.000005199858,0.00001822376,0.00001529067,0.992845,0.001869822,0.001151326,0.00008362688,0.003774386],"study_design_scores_gemma":[0.000002697377,0.0000106795,0.00006120565,0.000001276003,0.000001304433,0.000001903677,0.000001733933,0.9989869,0.0005634957,0.0002189364,0.0001479642,0.000001934334],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09939282,0.0004393869,0.8850171,0.0002247152,0.0000581781,0.00009820508,0.0005600452,0.0008961066,0.01331351],"genre_scores_gemma":[0.9728097,0.0002508285,0.02352889,0.0000231116,0.000008854367,0.0001757431,0.0003056258,0.00003900554,0.002858208],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01650174,"threshold_uncertainty_score":0.03281134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01132378781024105,"score_gpt":0.24334419561975,"score_spread":0.2320204078095089,"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."}}