{"id":"W2195021284","doi":"10.1016/j.ifacol.2015.08.151","title":"Economic MPC with Terminal Cost and Application to Oilsand Separation","year":2015,"lang":"en","type":"article","venue":"IFAC-PapersOnLine","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Terminal (telecommunication); Separation (statistics); Chemistry; Computer science; Computer network","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004857812,0.000653373,0.0005788424,0.0003199476,0.0002659571,0.0005431126,0.000660704,0.0005169188,0.001214071],"category_scores_gemma":[0.001262138,0.0001835709,0.0003168807,0.0004444892,0.0005521775,0.0005019495,0.0006042643,0.001009465,0.0001249439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006275896,"about_ca_system_score_gemma":0.0007411371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003059005,"about_ca_topic_score_gemma":0.001845182,"domain_scores_codex":[0.9997951,0.0000521711,0.000006820087,0.00002598116,0.00009680729,0.00002320598],"domain_scores_gemma":[0.9997215,0.0001246254,0.00003613265,0.00002927758,0.00007439961,0.00001419056],"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":[0.00002749316,0.00001725936,0.0001385882,0.00004531632,0.000008737545,0.00004201896,0.00001165963,0.9647267,0.001373411,0.01860717,0.0002573779,0.01474413],"study_design_scores_gemma":[0.000001480354,0.000007269179,0.00002529247,0.000001167596,9.342979e-7,0.000002690312,8.229564e-7,0.998463,0.0003037921,0.0009878696,0.0002044598,0.000001228499],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02085408,0.0002470147,0.973922,0.0001374797,0.00004596674,0.00002808902,0.0000220428,0.0001272544,0.00461601],"genre_scores_gemma":[0.9286611,0.0003048861,0.06808031,0.00003475929,0.00003885193,0.00005886681,0.00005765152,0.00003073376,0.002732911],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003059005,"threshold_uncertainty_score":0.006082416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006767660343000008,"score_gpt":0.2453789912130293,"score_spread":0.2386113308700293,"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."}}