{"id":"W2045304915","doi":"10.1109/ichqp.2014.6842814","title":"Modeling and prediction of conducted EMI noise in a 2-stage interleaved boost DC/DC converter","year":2014,"lang":"en","type":"article","venue":"","topic":"Electromagnetic Compatibility and Noise Suppression","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Electromagnetic interference; EMI; Topology (electrical circuits); Noise (video); Electronic engineering; Conducted electromagnetic interference; Common-mode signal; Computer science; Electrical engineering; Engineering; Digital signal processing","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":[0.0002797831,0.0005944737,0.0005875528,0.0002592561,0.0003447294,0.0005109123,0.0007422775,0.000721405,0.0007494829],"category_scores_gemma":[0.0004744157,0.0003343222,0.0005770304,0.0002485259,0.0003628281,0.00051097,0.0002001735,0.000428721,0.0002229064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005159712,"about_ca_system_score_gemma":0.0004440706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00405689,"about_ca_topic_score_gemma":0.003239447,"domain_scores_codex":[0.9997724,0.00005326304,0.00000659985,0.00003500088,0.0001152589,0.00001751294],"domain_scores_gemma":[0.9997924,0.00009801544,0.00003065501,0.0000213275,0.00005078407,0.000006829414],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009369948,0.00003384673,0.0009383515,0.00006120136,0.00002697071,0.0002348421,0.00008232072,0.9676304,0.02210515,0.001311994,0.0001247048,0.007356543],"study_design_scores_gemma":[0.000001762486,0.00002368777,0.0001387109,0.000001518328,0.00000453242,0.00002454914,0.000004251562,0.9980355,0.001556951,0.0001188046,0.00008741889,0.000002312123],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2316371,0.0004529266,0.7588621,0.0001036289,0.00004059564,0.0000506282,0.00006635812,0.0006190471,0.008167472],"genre_scores_gemma":[0.9871724,0.0001463174,0.01025594,0.00001821509,0.000008228016,0.0000278612,0.00002547736,0.00002916606,0.002316335],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00405689,"threshold_uncertainty_score":0.008066595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01223429834693163,"score_gpt":0.2060920133198018,"score_spread":0.1938577149728702,"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."}}