{"id":"W2112266133","doi":"10.1109/pacrim.2009.5291238","title":"Teaching old caches new tricks: RegionTracker and predictor virtualization","year":2009,"lang":"en","type":"article","venue":"","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Cache; Virtualization; Metadata; Exploit; Operating system; Granularity; Bus sniffing; Cache pollution; Cache algorithms; CPU cache; Parallel computing","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":[0.001686926,0.0005359442,0.0006819405,0.0004712934,0.0006496069,0.001812322,0.002118827,0.000771635,0.003092015],"category_scores_gemma":[0.004894004,0.0004852365,0.0005637908,0.0007432232,0.001389525,0.00802262,0.001990212,0.003898597,0.001056085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007085993,"about_ca_system_score_gemma":0.001757837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001444027,"about_ca_topic_score_gemma":0.002509471,"domain_scores_codex":[0.9987742,0.0003589332,0.00004942847,0.000178011,0.0004327084,0.0002067194],"domain_scores_gemma":[0.99764,0.0007315122,0.0001559058,0.001033476,0.0002732184,0.0001659711],"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":[0.0007951027,0.00023702,0.005131603,0.000341455,0.0001305804,0.0002897251,0.001008641,0.03897566,0.02091381,0.29569,0.03470323,0.601783],"study_design_scores_gemma":[0.000284697,0.0005920736,0.001756612,0.0003023249,0.0002384934,0.001061224,0.0005998857,0.3570692,0.06689314,0.2994601,0.2715154,0.0002268837],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06267773,0.0167832,0.8795171,0.008017277,0.00123475,0.00008581357,0.0001303858,0.008534352,0.02301938],"genre_scores_gemma":[0.5937257,0.008811879,0.3723419,0.002379558,0.0009516883,0.0002002034,0.0002539211,0.001731298,0.01960379],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003092015,"threshold_uncertainty_score":0.01034385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01542707444414938,"score_gpt":0.2523479555796985,"score_spread":0.2369208811355492,"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."}}