{"id":"W2548735054","doi":"10.1049/iet-epa.2016.0454","title":"Integrated model predictive control with reduced switching frequency for modular multilevel converters","year":2016,"lang":"en","type":"article","venue":"IET Electric Power Applications","topic":"HVDC Systems and Fault Protection","field":"Engineering","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"Rockwell Automation (Canada); Toronto Metropolitan University","funders":"","keywords":"Converters; Modular design; Model predictive control; Switching frequency; Control theory (sociology); Control (management); Computer science; Control engineering; Electronic engineering; Engineering; Electrical engineering; Voltage; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001171873,0.0001913849,0.0001971671,0.0001243995,0.000119772,0.00002331086,0.0001445656,0.0001159846,0.000005400386],"category_scores_gemma":[0.00001919221,0.0001334761,0.00005753455,0.0002729477,0.00001553327,0.0001724144,0.000003603499,0.0001297021,0.00001664965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002320616,"about_ca_system_score_gemma":0.00006838614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002855723,"about_ca_topic_score_gemma":0.000004034926,"domain_scores_codex":[0.9990082,0.00001483417,0.000254055,0.0002861199,0.0001214105,0.0003154098],"domain_scores_gemma":[0.9993181,0.00007117785,0.00006111142,0.0002891653,0.0001692552,0.00009117543],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005229557,0.00004222153,0.00003212784,0.0000234959,0.0001721824,2.839244e-7,0.0001895762,0.01267746,0.9630206,0.001493663,0.0003739175,0.02192216],"study_design_scores_gemma":[0.001516379,0.0001229636,0.0001864514,0.0000412305,0.00004457537,0.000009109121,0.00002435035,0.9804754,0.01456097,0.001797812,0.0009667897,0.000254011],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02079317,0.00009850769,0.9756333,0.00008926701,0.00005524289,0.002128757,0.0001254166,0.0005308305,0.0005455582],"genre_scores_gemma":[0.9907783,0.00001302887,0.003804291,0.00003042011,0.00005009394,0.005164345,0.00001114282,0.00005667744,0.00009174141],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9718289,"threshold_uncertainty_score":0.5442997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006128122106091542,"score_gpt":0.202348224664924,"score_spread":0.1962201025588324,"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."}}