{"id":"W2019108625","doi":"10.1016/j.ces.2009.10.026","title":"Online composition estimation and experiment validation of distillation processes with switching dynamics","year":2009,"lang":"en","type":"article","venue":"Chemical Engineering Science","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Estimator; Fractionating column; Control theory (sociology); Distillation; System dynamics; Process (computing); Mode (computer interface); Noise (video); Extended Kalman filter; Kalman filter; Continuous distillation; Computer science; Mathematics; Artificial intelligence; Chemistry; Statistics; Control (management)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005392134,0.00008815667,0.00009762587,0.0000759822,0.00002721087,0.00002646539,0.00006180323,0.00002512791,2.698843e-7],"category_scores_gemma":[0.00006857407,0.00008396765,0.000005895499,0.0003571046,0.00002773087,0.0004076279,0.00000648068,0.00004636686,1.183149e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001270134,"about_ca_system_score_gemma":0.00001572013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.649234e-7,"about_ca_topic_score_gemma":1.079266e-7,"domain_scores_codex":[0.99944,0.000001372043,0.0001527313,0.00012644,0.0001706118,0.0001089171],"domain_scores_gemma":[0.9997319,0.00002732536,0.00003890254,0.00008015219,0.00007936781,0.00004235309],"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":[0.000002772766,0.000007102288,0.00001467573,0.00005177751,0.000001032618,8.527766e-8,0.00006426372,0.6204211,0.377684,0.0002133588,6.32941e-8,0.001539749],"study_design_scores_gemma":[0.0001044612,0.00002047312,0.0002523911,0.00009550017,0.000003686818,0.000004438794,0.000007012663,0.7129392,0.2864667,0.00003671368,2.086752e-7,0.00006924174],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4838771,0.00003762142,0.5158835,0.0000106085,0.00001627915,0.00006444126,0.000001345208,0.00009165549,0.00001746674],"genre_scores_gemma":[0.9348354,0.000004387708,0.06510692,0.00000194475,0.00001437759,0.000004175864,0.00002481254,0.000007639649,3.286714e-7],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4509583,"threshold_uncertainty_score":0.3424101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003592062341626212,"score_gpt":0.2127771366563912,"score_spread":0.209185074314765,"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."}}