{"id":"W2145303922","doi":"10.1109/tpel.2007.915784","title":"Continuous-Time Digital Controller for High-Frequency DC-DC Converters","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Power Electronics","topic":"Advanced DC-DC Converters","field":"Engineering","cited_by":159,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Comparator; Electronic engineering; Capacitor; Controller (irrigation); Digital control; Computer science; Control theory (sociology); Transient (computer programming); Electrical engineering; Buck converter; Converters; Voltage; Transient response; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00005695147,0.0004201347,0.0004842783,0.0001832142,0.0002105977,0.00004505645,0.0002564094,0.0001899321,0.0001995414],"category_scores_gemma":[0.000007519841,0.0004605354,0.0002753134,0.0002150157,0.0001126896,0.0005044275,8.443818e-7,0.0004511758,0.0003398489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004441435,"about_ca_system_score_gemma":0.0000934985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006230506,"about_ca_topic_score_gemma":0.000008215445,"domain_scores_codex":[0.9980638,0.00001575507,0.000414718,0.0003982949,0.0002488498,0.0008585779],"domain_scores_gemma":[0.9991035,0.0001897388,0.00005548634,0.0003813199,0.0001010541,0.0001688362],"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":[0.002563125,0.001989292,0.000111207,0.0002624256,0.005582688,0.0001981696,0.0031157,0.08493006,0.3279635,0.003761033,0.0172564,0.5522664],"study_design_scores_gemma":[0.03705925,0.005675053,0.0001986168,0.0001925365,0.0007865634,0.0007663222,0.000278636,0.6450288,0.2252722,0.006201007,0.07177505,0.006765995],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02438944,0.0003051788,0.9719767,0.0001317945,0.0008663074,0.000697348,0.0001907343,0.0008430895,0.0005994363],"genre_scores_gemma":[0.9967108,0.0001849232,0.0007238481,0.0002400681,0.00003502877,0.000185688,0.00002040157,0.0001494202,0.001749789],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9723214,"threshold_uncertainty_score":0.9997846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004657772854587742,"score_gpt":0.1868336968703225,"score_spread":0.1821759240157348,"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."}}