{"id":"W2946012514","doi":"10.1145/3316781.3317897","title":"Revisiting the ARM Debug Facility for OS Kernel Security","year":2019,"lang":"en","type":"article","venue":"","topic":"Security and Verification in Computing","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Computer science; Debugging; Linux kernel; Embedded system; Spec#; Kernel (algebra); Operating system; ARM architecture; Overhead (engineering); Software; Software security assurance; Programming language; Cloud computing; Cloud computing security","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001939482,0.0008655343,0.0003887806,0.001200906,0.0004347925,0.001425884,0.001410597,0.000715719,0.003091909],"category_scores_gemma":[0.006812756,0.0006066427,0.0006145976,0.0004826887,0.0009615834,0.002954608,0.001416605,0.002027593,0.0005959836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006785364,"about_ca_system_score_gemma":0.00125477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009466719,"about_ca_topic_score_gemma":0.0009797366,"domain_scores_codex":[0.9987055,0.0003029244,0.0001034338,0.0002136531,0.0004735822,0.0002008042],"domain_scores_gemma":[0.9961751,0.001272426,0.0004031653,0.001611217,0.0004524256,0.00008563846],"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":[0.001643236,0.0002426325,0.01839333,0.0009338099,0.0001310078,0.000932146,0.001323299,0.04919253,0.2759494,0.141986,0.008403936,0.5008687],"study_design_scores_gemma":[0.000284196,0.001465665,0.00983208,0.0007036384,0.000356812,0.001767112,0.0002518964,0.3626944,0.4402657,0.061203,0.1209351,0.0002402997],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1336228,0.001256842,0.842556,0.0006066391,0.0001412746,0.0001462644,0.0001364975,0.01646561,0.00506806],"genre_scores_gemma":[0.8444278,0.0004848257,0.1497999,0.0002416977,0.00004936299,0.00007211216,0.0001615819,0.00137046,0.003392356],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003091909,"threshold_uncertainty_score":0.01034343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02519338034374301,"score_gpt":0.2676779796637481,"score_spread":0.242484599320005,"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."}}