{"id":"W2897527802","doi":"10.1109/tie.2018.2875642","title":"A Series-Connected Multilevel Converter: Topology, Modeling, and Control","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Electronics","topic":"Multilevel Inverters and Converters","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Toronto Metropolitan University","funders":"","keywords":"Topology (electrical circuits); Capacitor; Transformer; Electromagnetic coil; Three-phase; MATLAB; Voltage; Control theory (sociology); Computer science; Electronic engineering; Engineering; Electrical engineering; Control (management)","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001048999,0.0002969846,0.0003171231,0.0001490049,0.0002076522,0.00004896505,0.0001538651,0.000385512,0.0002361916],"category_scores_gemma":[0.000006144441,0.000307534,0.00007532283,0.0001478842,0.0001603781,0.0001966602,9.668105e-7,0.0005738695,0.00004127107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001556871,"about_ca_system_score_gemma":0.0001002643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001055949,"about_ca_topic_score_gemma":0.0002673913,"domain_scores_codex":[0.9986231,0.00004921014,0.0003192963,0.0003114897,0.0001383518,0.0005585774],"domain_scores_gemma":[0.999425,0.00005634955,0.00003072815,0.0002596827,0.00007445634,0.0001537846],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001853501,0.000266153,0.00003229652,0.00005249197,0.001433473,0.00001842473,0.001533899,0.05496021,0.02929743,0.001162807,0.004288356,0.9051009],"study_design_scores_gemma":[0.003307279,0.0005588039,0.000002240002,0.00002064561,0.00008358643,0.00003240974,0.00006061756,0.9752741,0.01807644,0.0001520245,0.00209642,0.0003354562],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07239321,0.00008676616,0.9245723,0.0002135195,0.00159166,0.0003854762,0.00007019871,0.0004190497,0.0002678521],"genre_scores_gemma":[0.9989492,0.0001204722,0.00009014857,0.000313058,0.0002440763,0.00006158876,0.000002891986,0.00005373288,0.0001648592],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.926556,"threshold_uncertainty_score":0.9999377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02400609355783529,"score_gpt":0.2231470044372129,"score_spread":0.1991409108793776,"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."}}