{"id":"W7018109823","doi":"","title":"Constrained model predictive control with economic optimization for integrating process","year":2015,"lang":"en","type":"other","venue":"SIA OpenIR (Chinese Academy of Sciences)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Process (computing); Constraint (computer-aided design); Model predictive control; Quadratic programming; Optimization problem; Dynamic programming; Quadratic equation; Optimal control; Constrained optimization; Process control","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001933501,0.0007802353,0.001268473,0.0008051508,0.000218315,0.0001389309,0.001699882,0.0005926594,0.0002688386],"category_scores_gemma":[0.0003596082,0.0005363359,0.0001217773,0.0008287923,0.002332308,0.0009650199,0.0000972789,0.0005131975,0.0000622661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002369292,"about_ca_system_score_gemma":0.002182346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000101121,"about_ca_topic_score_gemma":0.000115917,"domain_scores_codex":[0.9963368,0.00009853813,0.0007956114,0.001271375,0.0008312624,0.000666386],"domain_scores_gemma":[0.9973068,0.0001623771,0.001829895,0.00019226,0.0002241962,0.0002845126],"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":[0.0005469928,0.00005661834,0.0003379302,0.0001597385,0.0001706679,2.922535e-7,0.0004668509,0.9496757,0.0001235938,0.002394635,0.04595307,0.0001138642],"study_design_scores_gemma":[0.004126143,0.0003601726,0.000006067026,0.0005738147,0.0001665803,0.00001437895,0.0003925443,0.9888576,0.00003948813,0.00402466,0.0007982036,0.0006403817],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.00320022,0.0008052138,0.1571359,0.0008145614,0.000250758,0.01473112,0.01530394,0.001028373,0.8067299],"genre_scores_gemma":[0.8116924,0.00002860721,0.1435273,0.0004485532,0.0007114572,0.001516081,0.0003601593,0.001963349,0.03975216],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8084921,"threshold_uncertainty_score":0.9997088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02106534420802697,"score_gpt":0.3216102682657217,"score_spread":0.3005449240576947,"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."}}