{"id":"W4408281960","doi":"10.1109/iecon55916.2024.10905165","title":"A Comprehensive Study of Sequential Model Predictive Control Methods for Multilevel Inverters","year":2024,"lang":"en","type":"article","venue":"","topic":"Multilevel Inverters and Converters","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Model predictive control; Computer science; 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":[0.0005031173,0.000538222,0.000506999,0.0003772846,0.0002721512,0.0008113257,0.0004865192,0.0004145769,0.00214979],"category_scores_gemma":[0.001273968,0.0002457014,0.0005007097,0.0006993468,0.0002593988,0.0006905108,0.0003779446,0.0007061296,0.0002589972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000389205,"about_ca_system_score_gemma":0.0006413614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002628747,"about_ca_topic_score_gemma":0.001656579,"domain_scores_codex":[0.9996949,0.00005829211,0.00001606254,0.0000384423,0.0001775192,0.00001474121],"domain_scores_gemma":[0.9996841,0.0001635987,0.00002586945,0.00002666669,0.00009216768,0.000007656086],"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":[0.00004551073,0.00005870885,0.0005102867,0.0007671452,0.00007539027,0.00008647511,0.0001172888,0.659899,0.005446846,0.06185878,0.001938832,0.2691957],"study_design_scores_gemma":[0.000003676977,0.000053823,0.0001946361,0.00004660885,0.00001284633,0.00002988547,0.00001164706,0.9868677,0.0009146197,0.00728569,0.004573321,0.000005453257],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009912991,0.005448044,0.9696596,0.0002622859,0.00009847696,0.0000450774,0.00004357412,0.0001921954,0.01433775],"genre_scores_gemma":[0.8281459,0.0117583,0.151126,0.0001223929,0.0002557065,0.00016919,0.0001872066,0.00009905615,0.008136276],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002628747,"threshold_uncertainty_score":0.007191777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05440592835962384,"score_gpt":0.3397711447929402,"score_spread":0.2853652164333164,"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."}}