{"id":"W2091406027","doi":"10.1109/ccece.2008.4564908","title":"Improved current flattening circuit using current injection, voltage regulation, and frequency switching","year":2008,"lang":"en","type":"article","venue":"Conference proceedings - Canadian Conference on Electrical and Computer Engineering","topic":"Cryptographic Implementations and Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Computer science; Flattening; Electrical engineering; Voltage; Overhead (engineering); Current (fluid); Electronic engineering; Power (physics); Engineering; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.000178448,0.0003565722,0.0003104816,0.000712701,0.0006068037,0.0005735212,0.0003888039,0.00009507038,0.00001010196],"category_scores_gemma":[0.00003468843,0.0003765809,0.00005322944,0.0008170254,0.0000546532,0.0007351356,0.0001103659,0.0005685573,0.000001523243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001662401,"about_ca_system_score_gemma":0.0004771363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002299309,"about_ca_topic_score_gemma":0.0004904601,"domain_scores_codex":[0.9978787,0.00001207328,0.0004086019,0.0007366956,0.0002561504,0.0007077832],"domain_scores_gemma":[0.9986723,0.00004157855,0.0001212647,0.0001676062,0.0003954204,0.0006018386],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00000516971,0.00005622274,0.0167582,0.0001208992,0.00004415656,0.00001228278,0.004142775,0.00007942201,0.005184941,0.6612431,0.0001323442,0.3122205],"study_design_scores_gemma":[0.0003251329,0.000164451,0.01965353,0.000135105,0.00001238704,0.0001812984,0.00002085361,0.9729638,0.0000972946,0.00559909,0.0003545454,0.000492473],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2666208,0.0003589707,0.7320743,0.0001364299,0.0003200174,0.0002564848,0.00000375006,0.0001492465,0.00008002381],"genre_scores_gemma":[0.9942186,0.0001848444,0.005299981,0.00007464817,0.0001705822,0.00002576004,0.0000051655,0.00001715913,0.000003276971],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9728844,"threshold_uncertainty_score":0.9998686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03272997820867587,"score_gpt":0.2358882553107775,"score_spread":0.2031582771021016,"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."}}