{"id":"W3112546421","doi":"10.1109/tte.2020.3045324","title":"High-Efficiency Discontinuous Current-Mode Power Factor Correction-Based Plug-In Battery Charger for Local e-Transportation","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Power factor; Buck converter; Battery charger; Total harmonic distortion; Rectification; Robustness (evolution); Electrical engineering; Inductor; Voltage; Electronic engineering; Engineering; Power (physics); Battery (electricity); Computer science; Physics","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"],"consensus_categories":[],"category_scores_codex":[0.00008265,0.0003513954,0.0003229348,0.0004639813,0.0001544104,0.00003532082,0.0002450688,0.0002350113,0.0001180068],"category_scores_gemma":[0.00001196229,0.0003976316,0.0001675016,0.001098824,0.00008660074,0.0004137741,1.882861e-8,0.0006960797,0.00004209702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002900236,"about_ca_system_score_gemma":0.00008384803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002674807,"about_ca_topic_score_gemma":0.0002704102,"domain_scores_codex":[0.9977743,0.0000335626,0.0006997736,0.0005820509,0.0003891034,0.0005212154],"domain_scores_gemma":[0.9991482,0.0001951018,0.0001032656,0.0002766814,0.0001502082,0.0001265243],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000254903,0.0002294818,0.0001538198,0.0001259751,0.00002357011,0.000001995222,0.0004364031,0.8347251,0.1167853,0.00007494522,0.0001277688,0.04706071],"study_design_scores_gemma":[0.001552325,0.0003177207,0.007758053,0.0000612619,0.00004044242,3.280176e-7,0.0001341253,0.2156877,0.7733995,0.00007091057,0.0004495613,0.0005281207],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1362508,0.00006277047,0.8598521,0.0005136969,0.0007938069,0.001075401,0.0006093479,0.0008357713,0.000006355667],"genre_scores_gemma":[0.9974842,0.00009988027,0.0007543004,0.00009861426,0.0000352243,0.0008356611,0.000576935,0.0000931901,0.0000219611],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8612335,"threshold_uncertainty_score":0.9998475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01584940212549884,"score_gpt":0.2639035684294216,"score_spread":0.2480541663039228,"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."}}