{"id":"W2328868439","doi":"10.1021/ie302215c","title":"Simultaneous Design and Control under Uncertainty Using Model Predictive Control","year":2013,"lang":"en","type":"article","venue":"Industrial & Engineering Chemistry Research","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Model predictive control; Mathematical optimization; Control theory (sociology); Stability (learning theory); Flexibility (engineering); Computer science; Nonlinear system; Process (computing); Process design; Continuous stirred-tank reactor; Dynamic programming; Mathematics; Work in process; Control (management); Engineering","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005786473,0.0003131032,0.0003923304,0.0001079938,0.0001215776,0.0001532304,0.000234361,0.0004469411,0.00003345861],"category_scores_gemma":[0.0007533548,0.0003344225,0.00004857693,0.0003120781,0.00008610413,0.0002713196,0.00003917324,0.0009923619,0.000008661065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005646555,"about_ca_system_score_gemma":0.0001134823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005061731,"about_ca_topic_score_gemma":2.031634e-7,"domain_scores_codex":[0.9978834,0.00007537035,0.0003933735,0.0003680948,0.0004905543,0.0007892402],"domain_scores_gemma":[0.9978411,0.001160413,0.00004070092,0.0003159602,0.0003393217,0.0003025623],"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":[0.00003876907,0.000006574744,0.000007020759,0.00003138031,0.00007277301,0.000004661303,0.00002018811,0.620468,0.379091,0.000005472257,0.00004959983,0.0002046136],"study_design_scores_gemma":[0.002864092,0.00003105636,0.000001894996,0.00008514254,0.00002554126,0.00001664005,0.00005193597,0.9808015,0.01571049,0.0000904729,0.00003480171,0.0002864547],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08169627,0.0003080862,0.9157175,0.00005943411,0.0001301563,0.001457022,0.00003760707,0.0004626197,0.0001312527],"genre_scores_gemma":[0.9981428,0.0000140767,0.0009119452,0.000006915704,0.0004771439,0.0002429205,0.000007337401,0.00009832724,0.00009857859],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9164465,"threshold_uncertainty_score":0.9999108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05406202085537774,"score_gpt":0.284689615820541,"score_spread":0.2306275949651632,"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."}}