{"id":"W2782556933","doi":"10.1109/tpel.2018.2790950","title":"Simultaneous DC Current Balance and Common-Mode Voltage Control With Multilevel Current Source Inverters","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Power Electronics","topic":"Multilevel Inverters and Converters","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Common-mode signal; Rectifier (neural networks); Harmonics; Current source; Voltage source; Computer science; Voltage; Electrical engineering; Power (physics); Electronic engineering; Direct current; Control theory (sociology); Engineering; Control (management); Physics","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":[0.0000654707,0.0004347179,0.0003643721,0.0001429976,0.0002178805,0.00006879798,0.0002260303,0.0001068518,0.00006584033],"category_scores_gemma":[0.000002404809,0.0004015792,0.00009287204,0.0001587596,0.0001986573,0.000167187,0.000001623418,0.0007170145,0.0000647602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002320966,"about_ca_system_score_gemma":0.00006507802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003397415,"about_ca_topic_score_gemma":0.0002840829,"domain_scores_codex":[0.9982464,0.00003252825,0.0003018993,0.0004214525,0.0002786276,0.0007190713],"domain_scores_gemma":[0.9991019,0.0001345431,0.00005257606,0.0003997961,0.00008273995,0.0002284961],"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":[0.0003686655,0.0003057076,0.0001342505,0.0001135652,0.0002980116,0.000009289321,0.001743696,0.0475433,0.004695057,0.00003943771,0.0008278424,0.9439211],"study_design_scores_gemma":[0.001907933,0.0004066679,0.00005275166,0.0001050033,0.00008548028,0.00002509387,0.00003759269,0.9678393,0.00616325,0.00002818537,0.02282804,0.0005207324],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0621022,0.0009019125,0.9350327,0.00003928715,0.00101532,0.0003783948,0.00009115046,0.0003588943,0.00008019068],"genre_scores_gemma":[0.9988858,0.0005051458,0.00009065369,0.0002456812,0.00004625128,0.0000608495,0.000004855804,0.00008939954,0.0000713433],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9434004,"threshold_uncertainty_score":0.9998436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006348050572450013,"score_gpt":0.22603240421279,"score_spread":0.21968435364034,"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."}}