{"id":"W4391696969","doi":"10.1109/tpel.2024.3364534","title":"An FPGA-Based On-the-Fly Reconfigurable Low-Power SHEPWM Inverter With a Compact SiP Implementation","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Power Electronics","topic":"Silicon Carbide Semiconductor Technologies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Inverter; Pulse-width modulation; Total harmonic distortion; Waveform; Harmonics; Power (physics); Harmonic; Modulation (music); Power inverter; Electronic engineering; Electrical engineering; Computer science; Topology (electrical circuits); Control theory (sociology); Engineering; Voltage; Physics; Acoustics","routes":{"ca_aff":true,"ca_fund":true,"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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001580019,0.0003508757,0.0002154119,0.0003378753,0.0001302088,0.0001871379,0.0003023591,0.0001583291,0.001103147],"category_scores_gemma":[0.000002233677,0.0002759878,0.0001202044,0.0005764214,0.00007807467,0.000315868,3.096464e-7,0.0008937699,0.0001441808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005420092,"about_ca_system_score_gemma":0.0001713681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002607503,"about_ca_topic_score_gemma":0.0002531472,"domain_scores_codex":[0.9984344,0.00004437444,0.0002647885,0.0003901908,0.0002813187,0.0005849489],"domain_scores_gemma":[0.9990237,0.0001648555,0.0000260365,0.0006602643,0.00004537569,0.00007978253],"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":[0.0002049228,0.0003019795,0.00002656134,0.000116531,0.0006959807,0.0000416928,0.001138616,0.3459795,0.6215496,0.0011245,0.01264846,0.01617159],"study_design_scores_gemma":[0.0004611753,0.001088602,0.00002418761,0.00009243259,0.00006418466,0.00001888899,0.0003820648,0.1230303,0.8702713,0.0002136861,0.003911046,0.0004421073],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9413534,0.0004003211,0.05015578,0.001127412,0.0008899856,0.0006893391,0.0001063265,0.003091088,0.00218636],"genre_scores_gemma":[0.9991565,0.00004889253,0.00003320996,0.0004546113,0.00001257722,0.00008980263,0.00001159292,0.0001176102,0.00007520178],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2487217,"threshold_uncertainty_score":0.9999692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009561337511749169,"score_gpt":0.2419675124934279,"score_spread":0.2324061749816787,"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."}}