{"id":"W3127495728","doi":"10.1109/epec48502.2020.9319921","title":"Impact of Dead-band Time on the Harmonic Spectrum of Power Converters","year":2020,"lang":"en","type":"article","venue":"2020 IEEE Electric Power and Energy Conference (EPEC)","topic":"Advanced DC-DC Converters","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Converters; Power (physics); Harmonic; Harmonic analysis; Harmonic spectrum; Electronic engineering; Electrical engineering; Computer science; Physics; Harmonics; Engineering; Voltage; Acoustics","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":[0.00006389005,0.0003183388,0.0004600415,0.00009288086,0.00004035069,0.0000240928,0.0003097386,0.0001004527,0.0007467916],"category_scores_gemma":[0.00003519997,0.0002424293,0.0001662873,0.0004746227,0.00007837647,0.0001175507,0.00002197454,0.0002552234,0.00003075185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006625204,"about_ca_system_score_gemma":0.0001098955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005885216,"about_ca_topic_score_gemma":0.000004306652,"domain_scores_codex":[0.998647,0.00004384412,0.0003391543,0.0003022781,0.0002395036,0.0004281734],"domain_scores_gemma":[0.9992111,0.0001570526,0.00009720589,0.0002920189,0.00005490704,0.0001877645],"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":[0.0005901249,0.0001330581,0.001055592,0.00008685872,0.001250164,0.00005635619,0.002128115,0.002348425,0.9316018,0.005103681,0.01402498,0.04162083],"study_design_scores_gemma":[0.003020862,0.004412965,0.01468297,0.0001595327,0.0002039756,0.00004972755,0.0001768336,0.4957225,0.4755666,0.001865915,0.00247211,0.001666067],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9399722,0.0009066375,0.04791542,0.0009269686,0.0003415148,0.0001847669,0.00004547031,0.0002254874,0.009481586],"genre_scores_gemma":[0.9991137,0.0003850849,0.00001655913,0.0002545345,0.00003391751,0.000007903836,0.000004807792,0.0000413055,0.0001421188],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4933741,"threshold_uncertainty_score":0.9885982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008569572431432892,"score_gpt":0.1973998957720967,"score_spread":0.1888303233406638,"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."}}