{"id":"W2542203766","doi":"10.1109/ias.2001.955929","title":"Converter nonintegral harmonics from AC network resonating with DC network","year":2002,"lang":"en","type":"article","venue":"","topic":"Multilevel Inverters and Converters","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Harmonics; Correctness; Total harmonic distortion; Control theory (sociology); Noise (video); Harmonic analysis; Modulation (music); Electronic engineering; Computer science; DC bias; Physics; Engineering; Algorithm; Electrical engineering; Acoustics; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00006846866,0.000293933,0.0002867323,0.00002533871,0.000108163,0.00009148762,0.0002406286,0.0001230752,0.003358198],"category_scores_gemma":[0.000003122908,0.0002345938,0.00007964171,0.0001826217,0.00004834301,0.0001744084,0.00003801663,0.0003209238,0.0003407728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005987858,"about_ca_system_score_gemma":0.000006353094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001790863,"about_ca_topic_score_gemma":0.0001756969,"domain_scores_codex":[0.9985852,0.00002291057,0.0002660108,0.0002832991,0.0002069102,0.0006356836],"domain_scores_gemma":[0.9993665,0.00008442455,0.00003507323,0.0003301686,0.00003254604,0.0001512925],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004407796,0.00003648905,0.01738152,0.00003224252,0.0004905656,0.00009278996,0.001340756,0.05435527,0.00014929,0.0009134531,0.6069675,0.318196],"study_design_scores_gemma":[0.0005737381,0.0000315263,0.001432674,0.00008203489,0.00002900434,0.000005616557,0.00009979224,0.9748424,0.0001149152,0.0001205822,0.02229553,0.0003721566],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1045536,0.00478564,0.7363237,0.0009621301,0.004457275,0.0008985974,0.00004779178,0.003220611,0.1447506],"genre_scores_gemma":[0.9840763,0.00009872043,0.0117594,0.001571184,0.0006543612,0.00002357377,0.00001879946,0.00008178745,0.001715887],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9204872,"threshold_uncertainty_score":0.9975529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01694912566219151,"score_gpt":0.172827180588731,"score_spread":0.1558780549265395,"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."}}