{"id":"W3046131452","doi":"10.1109/access.2020.3012467","title":"Architectural Advancement of Digital Low-Dropout Regulators","year":2020,"lang":"en","type":"article","venue":"IEEE Access","topic":"Analog and Mixed-Signal Circuit Design","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute for Information and Communications Technology Promotion; Ministry of Science and ICT, South Korea; Iran Telecommunication Research Center; National Research Foundation of Korea; Information Technology Research Centre; Ministry of Science, ICT and Future Planning","keywords":"Computer science; Scalability; Transient (computer programming); Capacitor; Power management; Power (physics); Transistor; Voltage; Electronic engineering; Embedded system; Electrical engineering; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000352727,0.0004529363,0.0002427285,0.0005388575,0.0002824811,0.001296507,0.00146885,0.0005472315,0.002692751],"category_scores_gemma":[0.0005539408,0.0002085335,0.0002478333,0.0003972353,0.0002416117,0.001306563,0.0006048518,0.0006717044,0.001003109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007122552,"about_ca_system_score_gemma":0.0005709061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007252608,"about_ca_topic_score_gemma":0.001183209,"domain_scores_codex":[0.9996282,0.00005532297,0.00002756004,0.00008609216,0.0001607007,0.00004212323],"domain_scores_gemma":[0.9997603,0.00003414565,0.00003591686,0.00003476036,0.0001126303,0.00002230309],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003770214,0.000168113,0.001950265,0.001081199,0.00008946379,0.0004388156,0.0005307597,0.0281212,0.3889356,0.113176,0.007409188,0.4577224],"study_design_scores_gemma":[0.0001105432,0.001544002,0.001985418,0.0003568986,0.0002913238,0.002032832,0.0001822505,0.3489654,0.255008,0.02478438,0.3646162,0.0001227654],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05961403,0.01447755,0.843807,0.00105795,0.0004681432,0.0002513505,0.000221749,0.003566241,0.07653612],"genre_scores_gemma":[0.7600633,0.008027657,0.2101703,0.0007641678,0.0003828676,0.0001418121,0.0003040395,0.0001402529,0.02000556],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002692751,"threshold_uncertainty_score":0.009008169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02280116683027795,"score_gpt":0.2388661257778633,"score_spread":0.2160649589475853,"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."}}