{"id":"W2791148539","doi":"10.1109/tia.2018.2801258","title":"Testing the Performance of the Wavelet Modulation Technique for <inline-formula> <tex-math notation=\"LaTeX\">$1\\phi$</tex-math> </inline-formula> CHB Multilevel DC–AC Power Electronic Converters","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Industry Applications","topic":"Multilevel Inverters and Converters","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Wavelet; Pulse-width modulation; Modulation (music); H bridge; Mathematics; Converters; Harmonics; Basis (linear algebra); Wavelet transform; Electronic engineering; Voltage; Control theory (sociology); Algorithm; Engineering; Computer science; Electrical engineering; Physics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002584555,0.0002603465,0.000249143,0.000318821,0.0001736983,0.0002826678,0.000454992,0.0003386217,0.001522126],"category_scores_gemma":[0.000924434,0.00009536407,0.0002164111,0.0003941871,0.0001622095,0.000485055,0.00020739,0.0002702845,0.0003259326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001556479,"about_ca_system_score_gemma":0.0001213586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003671754,"about_ca_topic_score_gemma":0.0003231576,"domain_scores_codex":[0.9997607,0.00003447085,0.00001734433,0.00003584193,0.0001261033,0.00002555137],"domain_scores_gemma":[0.9997154,0.00009032622,0.00004458421,0.00005413811,0.00008500784,0.00001056554],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007194947,0.0003763549,0.002230959,0.0005844956,0.00005966428,0.0002140172,0.0002192868,0.02494101,0.779613,0.001903781,0.0006060446,0.1885318],"study_design_scores_gemma":[0.00007826369,0.003785164,0.008973623,0.0000597822,0.00006498158,0.0004067152,0.0001011605,0.1969281,0.7853062,0.0005052888,0.003757842,0.00003292309],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9050417,0.0003501401,0.08918969,0.000088196,0.00005952697,0.0001036249,0.0001195268,0.0004078216,0.004639769],"genre_scores_gemma":[0.9827567,0.000184202,0.01609612,0.00001176551,0.000007878492,0.00002980205,0.00006439478,0.0000242444,0.0008248818],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001522126,"threshold_uncertainty_score":0.005092025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01939125900431493,"score_gpt":0.2380246680713882,"score_spread":0.2186334090670733,"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."}}