{"id":"W4402843859","doi":"10.1002/cjce.25512","title":"Assuring optimality in surrogate‐based optimization: A novel theorem and its practical implementation in pressure swing adsorption optimization","year":2024,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Carbon Dioxide Capture Technologies","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Norges Teknisk-Naturvitenskapelige Universitet","keywords":"Pressure swing adsorption; Swing; Adsorption; Vacuum swing adsorption; Mathematical optimization; Computer science; Mathematics; Chemistry; Engineering; Mechanical engineering; Physical chemistry","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":[0.01183021,0.001191906,0.001408134,0.001395884,0.0005573257,0.001599903,0.0009248829,0.001521226,0.002451717],"category_scores_gemma":[0.02923759,0.0004658672,0.001396255,0.0009724217,0.002569924,0.00154851,0.002862001,0.002443275,0.0004514649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007409793,"about_ca_system_score_gemma":0.001258916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001129271,"about_ca_topic_score_gemma":0.0005351334,"domain_scores_codex":[0.9966689,0.002030243,0.0001485106,0.0002139625,0.0008162413,0.0001221175],"domain_scores_gemma":[0.9822796,0.01484916,0.0007498205,0.0006231984,0.001296718,0.0002015393],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00007639117,0.00006928074,0.0006822236,0.0001818582,0.0000453434,0.0001137946,0.00008053111,0.8120191,0.003531762,0.1541603,0.001002116,0.02803724],"study_design_scores_gemma":[0.00000386639,0.00003643563,0.00005447538,0.00001531528,0.000003339272,0.00001948305,0.000004055986,0.9864878,0.0005634988,0.01237257,0.0004340173,0.000005154938],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002246597,0.000114493,0.9960372,0.0001392281,0.00002495225,0.00002844746,0.00001637014,0.00005583639,0.001336864],"genre_scores_gemma":[0.3896274,0.0007580898,0.6055059,0.000328145,0.0001603101,0.0004734066,0.0001561981,0.0002866144,0.002703971],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01183021,"threshold_uncertainty_score":0.06256491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01279538044829827,"score_gpt":0.2402305808699454,"score_spread":0.2274352004216472,"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."}}