{"id":"W7061447513","doi":"","title":"Predictor Virtualization: Teaching Old Caches New Tricks","year":2012,"lang":"en","type":"dissertation","venue":"Library and Archives Canada (Government of Canada)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; University of Toronto","keywords":"Metadata; Memory hierarchy; Exploit; Cache; Microarchitecture; Branch predictor; Hierarchy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":true,"about_ca":false,"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":[0.002538473,0.0009610641,0.0007046501,0.0006665924,0.001338495,0.004091249,0.003117731,0.001466322,0.007330127],"category_scores_gemma":[0.007470777,0.0008920748,0.0008317422,0.0007321914,0.002734909,0.01361022,0.003645443,0.009248042,0.00277468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001418034,"about_ca_system_score_gemma":0.002931294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002222238,"about_ca_topic_score_gemma":0.00315083,"domain_scores_codex":[0.9980749,0.0004867711,0.00007358289,0.0002758249,0.000758537,0.000330495],"domain_scores_gemma":[0.9965352,0.001232716,0.000155682,0.001218916,0.0004903821,0.0003671948],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005486348,0.0003204636,0.004090673,0.0007486382,0.0001188456,0.0003674596,0.001797234,0.02496576,0.01530806,0.4658644,0.09037823,0.3954916],"study_design_scores_gemma":[0.0001817279,0.0004835443,0.0009393832,0.0005807752,0.0001490255,0.0006213712,0.0007498417,0.1242361,0.02547112,0.3658493,0.4805841,0.0001536505],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.059422,0.02980786,0.7867085,0.0417751,0.006614548,0.0002204552,0.000450913,0.01287488,0.06212563],"genre_scores_gemma":[0.5534903,0.02890647,0.3500198,0.01098086,0.005133022,0.0004907163,0.0007355903,0.003899092,0.04634413],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007330127,"threshold_uncertainty_score":0.02452171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004039884871341995,"score_gpt":0.171735997107909,"score_spread":0.167696112236567,"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."}}