{"id":"W2142294264","doi":"10.1109/mwscas.2011.6026365","title":"Efficiency enhancement and EMI suppression via dynamically adjustable gate driving strength","year":2011,"lang":"en","type":"article","venue":"","topic":"Electromagnetic Compatibility and Noise Suppression","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Tehran University of Medical Sciences and Health Services","keywords":"EMI; Electromagnetic interference; Gate driver; Converters; Logic gate; Materials science; Interference (communication); Electronic engineering; Electrical engineering; Automotive engineering; Engineering; Voltage","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":[0.0001247914,0.0004147583,0.0002134621,0.0002774214,0.0001219268,0.0003271664,0.0007438471,0.0002610123,0.0006393105],"category_scores_gemma":[0.0003902278,0.0001772339,0.0001562001,0.0001712321,0.0002462915,0.0004344255,0.0002851126,0.0002790481,0.0002642429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002828802,"about_ca_system_score_gemma":0.000179524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002389287,"about_ca_topic_score_gemma":0.000531143,"domain_scores_codex":[0.9998565,0.00001216956,0.000008507827,0.00003154377,0.00006003141,0.00003122195],"domain_scores_gemma":[0.9996721,0.00008216288,0.0000855625,0.00003825311,0.00009566776,0.00002627281],"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":[0.00009306302,0.00002222419,0.0004413088,0.00004090677,0.000007802832,0.00007684802,0.00004158842,0.0008184994,0.9881976,0.0003997956,0.000085042,0.009775396],"study_design_scores_gemma":[0.00002121974,0.0003989943,0.002672479,0.00000734685,0.00002866746,0.0003995081,0.00002196384,0.01520709,0.9779979,0.0002115959,0.003016734,0.00001644272],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8684522,0.0006319029,0.1225211,0.0001716951,0.00006476526,0.00005454484,0.00008235963,0.000916819,0.007104588],"genre_scores_gemma":[0.9861165,0.0001238311,0.01223744,0.00004658946,0.00002315761,0.00001377082,0.00004869094,0.00006418391,0.001325791],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007438471,"threshold_uncertainty_score":0.002138734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006667752322054288,"score_gpt":0.186484127869082,"score_spread":0.1798163755470277,"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."}}