{"id":"W3126342494","doi":"10.1021/acs.iecr.0c05208","title":"Model Predictive Control Embedding a Parallel Hybrid Modeling Strategy","year":2021,"lang":"en","type":"article","venue":"Industrial & Engineering Chemistry Research","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Imperial Oil (Canada); McMaster University","funders":"","keywords":"Model predictive control; Subspace topology; Computer science; Embedding; Process (computing); Residual; Controller (irrigation); Process control; Component (thermodynamics); Control theory (sociology); Algorithm; Control (management); Artificial intelligence","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":[0.0006176273,0.0006800428,0.0006801098,0.0002646844,0.0003401458,0.0008162428,0.0009277893,0.0005031686,0.001717218],"category_scores_gemma":[0.0006319592,0.0003304607,0.0006058729,0.0003045912,0.0006100484,0.0007530862,0.0009776447,0.001033116,0.0004358728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004025401,"about_ca_system_score_gemma":0.0007959703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004660599,"about_ca_topic_score_gemma":0.003248683,"domain_scores_codex":[0.9996363,0.00008576686,0.00001950389,0.00008487864,0.0001416583,0.00003180546],"domain_scores_gemma":[0.9997256,0.00008797726,0.00003899949,0.00005487502,0.00007753836,0.00001498454],"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":[0.00006433619,0.00004443578,0.0002129361,0.00006406911,0.00004102378,0.000050111,0.00004562736,0.9477041,0.005448682,0.01157507,0.0003790013,0.03437052],"study_design_scores_gemma":[0.000005336517,0.00003747224,0.00003215923,0.000002495072,0.000004129566,0.000007243011,0.000002777289,0.9972863,0.0007979171,0.001352133,0.0004686197,0.000003471048],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01434213,0.0001453777,0.9806582,0.0001168628,0.00003997903,0.00003943879,0.00003517091,0.0005013521,0.004121447],"genre_scores_gemma":[0.8534926,0.0002475472,0.1414989,0.00009433183,0.00005595428,0.0002083615,0.0001108759,0.00005844213,0.00423307],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004660599,"threshold_uncertainty_score":0.009266973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07697923902880636,"score_gpt":0.3143316332746063,"score_spread":0.2373523942457999,"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."}}