{"id":"W2135250877","doi":"10.1002/aic.14040","title":"Simultaneous process synthesis and control design under uncertainty: A worst‐case performance approach","year":2013,"lang":"en","type":"article","venue":"AIChE Journal","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Flexibility (engineering); Process (computing); Control theory (sociology); Mathematical optimization; Fractionating column; Stability (learning theory); Optimal design; Optimal control; Engineering; Bounded function; Computer science; Control (management); Distillation; Mathematics","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":[0.0003747755,0.000191316,0.0002730246,0.00008734915,0.0001695202,0.0001402365,0.0001057665,0.0001020653,0.00003190388],"category_scores_gemma":[0.0001730555,0.0001592863,0.00003822708,0.0001292884,0.00003521301,0.000501448,0.000007494529,0.0003156733,0.00001787483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008871149,"about_ca_system_score_gemma":0.00002698314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006145236,"about_ca_topic_score_gemma":0.000001036001,"domain_scores_codex":[0.9989282,0.000104142,0.0003590507,0.0001442583,0.0001555832,0.0003086962],"domain_scores_gemma":[0.9989918,0.0004372448,0.0001059567,0.0001318187,0.0001632904,0.0001698772],"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":[0.0000200426,0.00001360506,0.0001846606,0.00005097346,0.00009480483,0.00005328442,0.0001585433,0.9781713,0.00028284,0.00000387052,0.00006268203,0.02090339],"study_design_scores_gemma":[0.0007437759,0.00003955707,0.00006007508,0.00004722078,0.00005608442,0.00446002,0.000421542,0.993713,0.0001046932,0.0001262705,0.00003169828,0.0001961241],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1501461,0.0007144994,0.8481368,0.00005236133,0.0001140631,0.0004189679,0.000001242845,0.0001231184,0.0002928369],"genre_scores_gemma":[0.9899791,0.0001470297,0.009420487,0.00006403326,0.0001974473,0.00008927986,4.154205e-7,0.00004620986,0.0000559639],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8398331,"threshold_uncertainty_score":0.6495506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008322685904389034,"score_gpt":0.1970527099343859,"score_spread":0.1887300240299969,"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."}}