{"id":"W2798394601","doi":"10.1109/icit.2018.8352273","title":"Model predictive control of a five-level nested neutral point clamped converter","year":2018,"lang":"en","type":"article","venue":"","topic":"Multilevel Inverters and Converters","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Converters; Model predictive control; Control theory (sociology); Voltage; Topology (electrical circuits); Capacitor; Transient (computer programming); Function (biology); Engineering; MATLAB; Computer science; Control (management); Electrical 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003215742,0.0003985678,0.0005707404,0.000219359,0.0003377208,0.0008839975,0.00083018,0.0004354186,0.001622924],"category_scores_gemma":[0.0004385282,0.0002223288,0.0003613807,0.0003233261,0.0003319783,0.0004704821,0.000489229,0.0006180513,0.0001857227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004827683,"about_ca_system_score_gemma":0.0005840609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006604903,"about_ca_topic_score_gemma":0.00514177,"domain_scores_codex":[0.9998306,0.00003377604,0.000009883408,0.0000295991,0.00007680975,0.00001936914],"domain_scores_gemma":[0.9998544,0.00004366915,0.00003249592,0.00001487273,0.00004454956,0.000009827429],"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":[0.00005745932,0.00002786738,0.0003102121,0.00008133637,0.00002164642,0.000101982,0.00003952279,0.9748366,0.004421081,0.003183535,0.0003577396,0.0165611],"study_design_scores_gemma":[0.000004069742,0.00002167725,0.00006918974,0.000002555872,0.000003633157,0.000006741171,0.000002414317,0.9990137,0.0003858673,0.0003057873,0.0001825748,0.000001823635],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1069969,0.0005554247,0.8761661,0.0002303347,0.00009600892,0.00008194765,0.0001546822,0.0007139096,0.01500466],"genre_scores_gemma":[0.9828066,0.0001564637,0.01531771,0.00001958711,0.000008438755,0.00004325047,0.00005993033,0.000008301674,0.00157961],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006604903,"threshold_uncertainty_score":0.01313293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02238580256448919,"score_gpt":0.2174479318894485,"score_spread":0.1950621293249593,"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."}}