{"id":"W3158904099","doi":"10.1109/access.2021.3077977","title":"Metis: An Integrated Morphing Engine CPU to Protect Against Side Channel Attacks","year":2021,"lang":"en","type":"article","venue":"IEEE Access","topic":"Cryptographic Implementations and Security","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Metis; Side channel attack; Morphing; Channel (broadcasting); Embedded system; Computer hardware; Operating system; Computer network; Computer security; Computer graphics (images); Database; Cryptography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0002297745,0.0005048451,0.0002550658,0.0004757416,0.0001294656,0.0004010865,0.0008497018,0.0002149902,0.003061638],"category_scores_gemma":[0.0007165806,0.0001833641,0.0002302014,0.0001747913,0.0002648189,0.000587706,0.0004749439,0.0004011306,0.0005975273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003551302,"about_ca_system_score_gemma":0.0004294039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003495554,"about_ca_topic_score_gemma":0.0006028271,"domain_scores_codex":[0.9997066,0.00002979676,0.00002114203,0.0000480122,0.0001427307,0.00005177473],"domain_scores_gemma":[0.9996768,0.00005262242,0.00007263203,0.0001108442,0.00006165288,0.00002552789],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001993934,0.0002423568,0.005712949,0.0004531768,0.0001442248,0.0006511215,0.0002010083,0.02988325,0.5807691,0.01070246,0.009727007,0.3595195],"study_design_scores_gemma":[0.0002267607,0.002881574,0.008427922,0.00005415247,0.0002392522,0.001698224,0.00005061168,0.3746026,0.5677708,0.002185286,0.04177431,0.00008849084],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5249427,0.002024589,0.4140914,0.0002653042,0.0003994543,0.0004123598,0.0004420477,0.03832673,0.01909543],"genre_scores_gemma":[0.9297017,0.0001599519,0.06353913,0.0001628968,0.00003817154,0.00007041916,0.0003274344,0.0004450081,0.005555187],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003061638,"threshold_uncertainty_score":0.01024222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05271762586385733,"score_gpt":0.3468250016893239,"score_spread":0.2941073758254666,"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."}}