{"id":"W2154842636","doi":"10.1109/itng.2007.89","title":"Enhanced Current-Balanced Logic (ECBL): An Area Efficient Solution to Secure Smart Cards against Differential Power Attack","year":2007,"lang":"en","type":"article","venue":"","topic":"Cryptographic Implementations and Security","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Smart card; Computer science; Power analysis; Current (fluid); Differential (mechanical device); Logic gate; Computer security; Power (physics); Electrical engineering; Embedded system; Cryptography; Engineering; Algorithm","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":[],"consensus_categories":[],"category_scores_codex":[0.0003792942,0.000256155,0.0002337943,0.0002925452,0.0003055979,0.0002100787,0.0006547518,0.00007973863,0.0001477006],"category_scores_gemma":[0.00002102601,0.0002242056,0.0001439398,0.0008535854,0.00004844588,0.0002350192,0.0002661074,0.0001900529,0.00004570672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009429246,"about_ca_system_score_gemma":0.00005876231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003585791,"about_ca_topic_score_gemma":0.0004722915,"domain_scores_codex":[0.9975733,0.00006690969,0.0004387244,0.0006713881,0.0005441946,0.0007054879],"domain_scores_gemma":[0.9986357,0.00004698366,0.0000999843,0.00067491,0.0002120686,0.0003303305],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0003500488,0.005059548,0.005417115,0.0001064267,0.0002004685,0.00005520016,0.03248822,0.003101409,0.1988582,0.3805173,0.01525485,0.3585912],"study_design_scores_gemma":[0.0127092,0.004305833,0.4175726,0.0002967436,0.0001329133,0.00004673394,0.004345958,0.4032355,0.09703065,0.005299462,0.04836234,0.006662086],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4723723,0.00002038562,0.5252823,0.0001565337,0.0008767761,0.0002528809,0.00001053319,0.000149515,0.0008787781],"genre_scores_gemma":[0.9908351,0.000008110719,0.008491318,0.0004616367,0.00008588879,0.00002246803,0.00006240568,0.00001042221,0.00002267259],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5184628,"threshold_uncertainty_score":0.914284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02834239847320812,"score_gpt":0.3190802956225084,"score_spread":0.2907378971493003,"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."}}