{"id":"W2102250201","doi":"","title":"TOWARDS OPTIMAL MPC PERFORMANCE: INDUSTRIAL TOOLS FOR MULTIVARIATE CONTROL MONITORING AND DIAGNOSIS","year":2006,"lang":"en","type":"article","venue":"","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Toolbox; Univariate; Multivariate statistics; Computer science; Model predictive control; Variance (accounting); Process (computing); Machine learning; Control (management); Bayesian probability; Data mining; 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":[0.001307072,0.001178042,0.0005904535,0.001136315,0.0003960702,0.001037413,0.0007977886,0.0008030457,0.003950612],"category_scores_gemma":[0.005509478,0.0003458599,0.0004414547,0.0006378623,0.0007475744,0.0009551348,0.001337587,0.001588094,0.0007328232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009423735,"about_ca_system_score_gemma":0.0008551344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002416795,"about_ca_topic_score_gemma":0.001206234,"domain_scores_codex":[0.9994386,0.0002030528,0.00003164651,0.00009407874,0.0001954301,0.00003714988],"domain_scores_gemma":[0.9988468,0.0006426427,0.0001344964,0.0001045206,0.0002371814,0.00003427476],"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":[0.00008138811,0.00006331346,0.0009386032,0.0001319538,0.00002624294,0.00007274171,0.0001081514,0.6850247,0.005011793,0.08679925,0.001972242,0.2197695],"study_design_scores_gemma":[0.000003951184,0.00001114494,0.00008080176,0.000009319434,0.000003235216,0.00001386375,0.000004632236,0.9864172,0.001373329,0.01130732,0.0007708787,0.000004380997],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001312383,0.00004043529,0.9974492,0.00004147764,0.000005175731,0.000009300488,0.00001133102,0.0003433657,0.0007872751],"genre_scores_gemma":[0.355492,0.0002430084,0.6419468,0.00007509327,0.00004076027,0.0001420309,0.0001104102,0.0001783915,0.001771495],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003950612,"threshold_uncertainty_score":0.01321614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02305993821618576,"score_gpt":0.2339634296214742,"score_spread":0.2109034914052884,"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."}}