{"id":"W2119601550","doi":"10.1109/ecce.2009.5316138","title":"Oversampled digital power controller with bumpless transition between sampling frequencies","year":2009,"lang":"en","type":"article","venue":"","topic":"Advanced DC-DC Converters","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Oversampling; Latency (audio); Converters; Digital control; Control theory (sociology); Sampling (signal processing); Electronic engineering; Computer science; Automatic frequency control; Switching frequency; Power (physics); Engineering; Controller (irrigation); Control (management); Filter (signal processing); Electrical engineering; CMOS; Telecommunications","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":[0.0002940866,0.0003590521,0.0003160661,0.0004646894,0.0002871786,0.0005603106,0.001171504,0.0004763535,0.001758743],"category_scores_gemma":[0.0008307556,0.0001851124,0.0001259742,0.0003890768,0.0003716838,0.0007699886,0.0002898584,0.0007692559,0.0003635653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003283647,"about_ca_system_score_gemma":0.000348906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007648577,"about_ca_topic_score_gemma":0.001456535,"domain_scores_codex":[0.9995358,0.00004578407,0.00003544511,0.0001135022,0.0002340034,0.00003558526],"domain_scores_gemma":[0.9995658,0.0001204873,0.00009168261,0.0001051715,0.0000956523,0.00002123102],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001054513,0.000235302,0.00111847,0.0004084872,0.00004088628,0.0004776492,0.0004651151,0.008398036,0.4796091,0.009220209,0.001758826,0.4972134],"study_design_scores_gemma":[0.0004501997,0.001760851,0.00330728,0.00007853161,0.00009499144,0.001837902,0.00006458756,0.3008814,0.6527155,0.005160204,0.03355118,0.00009733484],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1920889,0.001201633,0.7944939,0.00024071,0.0003925581,0.0003352827,0.0001516399,0.006083331,0.005012183],"genre_scores_gemma":[0.89099,0.0002110934,0.1045726,0.0001630194,0.00008764304,0.0001172308,0.00007729221,0.00005509242,0.003726003],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001758743,"threshold_uncertainty_score":0.005883634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01106180282973607,"score_gpt":0.2065965880411749,"score_spread":0.1955347852114389,"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."}}