{"id":"W3037271544","doi":"10.1109/apec39645.2020.9124554","title":"A New Model Predictive Control Formulation for CHB Inverters","year":2020,"lang":"en","type":"article","venue":"","topic":"Multilevel Inverters and Converters","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Model predictive control; Bottleneck; Control theory (sociology); Converters; Computer science; Power (physics); Computation; Mathematical optimization; Control (management); Mathematics; Algorithm","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":[0.0000193201,0.000120201,0.0001395092,0.00002445197,0.00002486475,0.00002109816,0.00008824401,0.00005700925,0.0000577787],"category_scores_gemma":[0.000008015437,0.0001128786,0.00007615888,0.00004778673,0.000003839615,0.0001961287,0.000006860968,0.00005288931,0.00002028668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003366393,"about_ca_system_score_gemma":0.00002169229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001170861,"about_ca_topic_score_gemma":0.000004013471,"domain_scores_codex":[0.9994612,0.000002752558,0.0001437602,0.0001351638,0.00008024653,0.0001768532],"domain_scores_gemma":[0.9996914,0.0000208958,0.00001371664,0.00007733089,0.00002180813,0.0001748062],"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":[0.0001754623,0.000006970731,0.000178193,0.00009348689,0.0001762447,6.37679e-7,0.002262182,0.7385368,0.004885292,0.004279452,0.1262998,0.1231056],"study_design_scores_gemma":[0.001571679,0.00004853331,0.00006403962,0.00000511157,0.00002525635,2.429998e-7,0.00005513964,0.9959897,0.0007891758,0.0006837629,0.0006283889,0.0001389655],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0003494119,0.00001694012,0.9962372,0.000646699,0.000106583,0.0004030769,0.00002790411,0.0003520465,0.001860128],"genre_scores_gemma":[0.9905216,0.000003327578,0.006206434,0.002937381,0.00009684995,0.00004094277,0.00001223768,0.00002743587,0.0001538669],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9901721,"threshold_uncertainty_score":0.4603056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02216933870034809,"score_gpt":0.2045018295636869,"score_spread":0.1823324908633388,"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."}}