{"id":"W2076025923","doi":"10.1016/s0009-2509(03)00077-0","title":"Model predictive control relevant identification and validation","year":2003,"lang":"en","type":"article","venue":"Chemical Engineering Science","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":48,"is_retracted":false,"has_abstract":false,"ca_institutions":"Syncrude (Canada); University of Alberta","funders":"","keywords":"Model predictive control; Identification (biology); Computer science; Mean squared prediction error; Filter (signal processing); Predictive modelling; System identification; Data mining; Control (management); Algorithm; Machine learning; 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":[0.002478677,0.001133269,0.001146855,0.0009853049,0.001171767,0.002377927,0.001328378,0.001565849,0.003318429],"category_scores_gemma":[0.01064103,0.0006489816,0.0008109338,0.0006631662,0.001087301,0.002576254,0.001603768,0.002526475,0.001347989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001062055,"about_ca_system_score_gemma":0.003096984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005566113,"about_ca_topic_score_gemma":0.003221395,"domain_scores_codex":[0.9985995,0.000370288,0.00006413993,0.0002047288,0.0006379273,0.0001233983],"domain_scores_gemma":[0.995515,0.001471526,0.0001781341,0.001309853,0.001480206,0.00004517623],"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":[0.00030838,0.0002836059,0.001611212,0.0004874993,0.0001369206,0.0001958627,0.0001192455,0.6861904,0.01356811,0.07300352,0.005528816,0.2185665],"study_design_scores_gemma":[0.00002095441,0.00004132184,0.0006390245,0.00003656394,0.00002677591,0.00003810287,0.00001736158,0.9599512,0.01218832,0.02482745,0.002196978,0.00001591882],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02082714,0.0007583699,0.9664765,0.0005087606,0.0002784409,0.0001233836,0.0002635353,0.002008403,0.008755609],"genre_scores_gemma":[0.9147804,0.0006897348,0.07700448,0.0001772376,0.00009290353,0.0002389263,0.0007903192,0.0002670188,0.005958931],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005566113,"threshold_uncertainty_score":0.01310861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006200604243724472,"score_gpt":0.1988287387950397,"score_spread":0.1926281345513152,"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."}}