{"id":"W4295974633","doi":"10.1561/1000000051","title":"Secure Processors Part I: Background, Taxonomy for Secure Enclaves and Intel SGX Architecture","year":2017,"lang":"en","type":"article","venue":"Foundations and Trends® in Electronic Design Automation","topic":"Security and Verification in Computing","field":"Computer Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Architecture; Computer science; Computer security; Operating system; History","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":[0.0005627374,0.000175689,0.0001705654,0.0002813246,0.000930572,0.0009430055,0.0004390231,0.0001041485,0.00001475366],"category_scores_gemma":[0.0001104099,0.000175866,0.00003753343,0.0002446703,0.00009732517,0.0009997059,0.00008706388,0.00021419,0.000003100188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009480961,"about_ca_system_score_gemma":0.0001351158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002206738,"about_ca_topic_score_gemma":0.0001712652,"domain_scores_codex":[0.9986718,0.00008168257,0.0002893429,0.0004703453,0.0001308148,0.0003560344],"domain_scores_gemma":[0.998901,0.0002485199,0.0002832851,0.0004222443,0.00008714193,0.00005778394],"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":[0.00002063451,0.00008711423,0.000279109,0.0000700047,0.00003840469,7.778307e-7,0.002339041,0.0007105275,0.0000813361,0.4133868,0.0004694065,0.5825168],"study_design_scores_gemma":[0.001221796,0.0002694434,0.006915546,0.00009904708,0.00002618086,0.00004093929,0.0001634295,0.8344386,0.0003244664,0.1066107,0.04944905,0.0004407133],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01370814,0.0003186529,0.982868,0.001921569,0.0001586195,0.0004458853,0.000004436827,0.0001344547,0.0004402387],"genre_scores_gemma":[0.94618,0.000069061,0.05306107,0.00006321348,0.00009487809,0.0003188478,0.0000444863,0.00001101871,0.0001574626],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9324718,"threshold_uncertainty_score":0.9093423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06422840979328397,"score_gpt":0.3109318821747717,"score_spread":0.2467034723814878,"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."}}