{"id":"W4385302172","doi":"10.1016/j.ces.2023.119124","title":"Robust real-time optimization and parameter estimation of post-combustion CO2 capture under economic uncertainty","year":2023,"lang":"en","type":"article","venue":"Chemical Engineering Science","topic":"Process Optimization and Integration","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Robust optimization; Mathematical optimization; Computer science; Flue gas; Combustion; Variance (accounting); Carbon capture and storage (timeline); Engineering; Mathematics; Economics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001441432,0.0001058186,0.0001127396,0.0001743689,0.00003236132,0.0000457926,0.0001108551,0.00007149747,0.00002416617],"category_scores_gemma":[0.0001577024,0.0001071582,0.00001832361,0.0004479355,0.00008760115,0.0003822406,0.0000224103,0.00007496397,0.00001202804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001345742,"about_ca_system_score_gemma":0.00003497473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009795771,"about_ca_topic_score_gemma":1.804817e-7,"domain_scores_codex":[0.9993628,0.000002540429,0.0001795246,0.0001711458,0.0001206052,0.0001634092],"domain_scores_gemma":[0.9996749,0.00005377837,0.00002904063,0.0001081604,0.00006618579,0.00006789082],"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":[0.000001514685,0.000002170703,0.000003688641,0.00003355251,0.000002571699,8.889563e-8,0.00006078984,0.8894064,0.1099595,0.0002985767,0.00004085971,0.0001903029],"study_design_scores_gemma":[0.0000937833,0.000006785109,0.0001038776,0.00002914141,0.000005243351,0.000002279284,0.00001835207,0.9413131,0.05828238,0.00003521141,0.000001789266,0.0001080547],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6334852,0.0000171235,0.3655292,0.00006392079,0.0001406763,0.00009967671,0.000009948501,0.00047387,0.0001803396],"genre_scores_gemma":[0.9726181,0.00004545616,0.02718751,0.000009383016,0.00001448186,0.000009314657,0.00007788182,0.00001598282,0.00002189447],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3391329,"threshold_uncertainty_score":0.4369785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008860772543420603,"score_gpt":0.2068007696618047,"score_spread":0.1979399971183841,"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."}}