{"id":"W4377031092","doi":"10.1016/j.applthermaleng.2023.120821","title":"Flexible operation of the pressurized water reactor nuclear power system using multi-model predictive control over a wide nonlinear operating range","year":2023,"lang":"en","type":"article","venue":"Applied Thermal Engineering","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"China Scholarship Council; National Natural Science Foundation of China","keywords":"Nonlinear system; Model predictive control; Control theory (sociology); Multivariable calculus; Engineering; Range (aeronautics); Power (physics); Coolant; Control engineering; Computer science; Control (management); Mechanical engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002585578,0.0002467908,0.0003366102,0.00009892503,0.00009949849,0.00005960317,0.0001947609,0.0001360481,0.00001495682],"category_scores_gemma":[0.00001567677,0.0001768473,0.00011239,0.0001748044,0.00001750106,0.00015963,0.00005145103,0.0002290743,0.00002946967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000109625,"about_ca_system_score_gemma":0.00001220079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002615653,"about_ca_topic_score_gemma":0.000001003641,"domain_scores_codex":[0.9987732,0.00002524054,0.0003994931,0.0002054176,0.0002412981,0.0003553725],"domain_scores_gemma":[0.9995177,0.0000435984,0.00004382284,0.0002944272,0.00003943265,0.00006106446],"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":[0.00002001004,0.000004509489,0.00001348226,0.00007334487,0.00006945684,7.274215e-7,0.0005214276,0.5220514,0.4771534,0.00007495002,0.00000338611,0.00001395596],"study_design_scores_gemma":[0.001740239,0.000009869977,0.0003265954,0.00009163639,0.0000393468,0.000002901632,0.0001877302,0.9468037,0.05042137,2.59374e-7,0.0001821268,0.0001942147],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9422748,0.00004195456,0.05390151,0.000009377743,0.0005997394,0.0009518343,0.00004332829,0.001318329,0.0008591188],"genre_scores_gemma":[0.9990917,0.000001201493,0.0005227478,0.0000204252,0.0001044195,0.00009492537,0.000004482912,0.0001188704,0.00004126116],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.426732,"threshold_uncertainty_score":0.7211624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008126379262679556,"score_gpt":0.1942239370328659,"score_spread":0.1860975577701864,"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."}}