{"id":"W1971292113","doi":"10.5555/2492708.2492824","title":"Toward virtualizing branch direction prediction","year":2012,"lang":"en","type":"article","venue":"Design, Automation, and Test in Europe","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Virtualization; Proxy (statistics); Branch predictor; Table (database); Set (abstract data type); Operating system; Computer engineering; Database; Machine learning; Programming language; Cloud 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":[0.000691112,0.0005561769,0.0003056315,0.0004528597,0.0003273717,0.001116469,0.001502594,0.0002761813,0.001308706],"category_scores_gemma":[0.002596391,0.0003442621,0.0002480205,0.0003748705,0.0004485105,0.001827979,0.0009326835,0.0009173629,0.0003872341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006394245,"about_ca_system_score_gemma":0.001558324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001397736,"about_ca_topic_score_gemma":0.002579613,"domain_scores_codex":[0.9992681,0.0001883323,0.00004963529,0.0001258148,0.0002527747,0.0001152909],"domain_scores_gemma":[0.9978963,0.0006363004,0.0002634533,0.0006275105,0.0004519207,0.0001244119],"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":[0.001495227,0.0003171545,0.01568966,0.000347994,0.0001579599,0.0003491863,0.0004603215,0.2335986,0.2550557,0.04399757,0.008101461,0.4404292],"study_design_scores_gemma":[0.00006496373,0.0005344722,0.001708523,0.00005949673,0.0001188457,0.0003225707,0.00008562081,0.8331262,0.1232855,0.01339293,0.02724152,0.00005930962],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2771548,0.00230492,0.7065468,0.0006541774,0.000329194,0.00006948481,0.0001279413,0.004943534,0.007869112],"genre_scores_gemma":[0.8259104,0.000439898,0.1707007,0.0003344611,0.0000937858,0.00005538811,0.000118544,0.0001478702,0.002198923],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001502594,"threshold_uncertainty_score":0.004639387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03106565444538474,"score_gpt":0.2499243927185031,"score_spread":0.2188587382731184,"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."}}