{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006812288,0.0001044884,0.0001002734,0.000181302,0.0001305416,0.0001239065,0.0001635958,0.00004814144,0.000003391075],"category_scores_gemma":[0.0003373605,0.0001031995,0.00001300342,0.0006706197,0.00002032175,0.0008798705,0.00005388918,0.00007742245,0.00001523578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002705412,"about_ca_system_score_gemma":0.00002448197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001281232,"about_ca_topic_score_gemma":4.683544e-7,"domain_scores_codex":[0.9990515,0.0001797466,0.0002398095,0.0001995996,0.0001372734,0.0001920719],"domain_scores_gemma":[0.999341,0.0002351067,0.00008628782,0.0001726005,0.0001026544,0.00006237254],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002517052,0.001463109,0.398362,0.0002285398,0.00005217462,0.00001524694,0.03057249,0.03350605,0.009786288,0.1159639,0.02053429,0.3894907],"study_design_scores_gemma":[0.0002934069,0.000111177,0.2465775,0.00006095299,0.000005077145,0.00005163568,0.000008827101,0.7430128,0.003375907,0.0009132974,0.005362065,0.0002273543],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007053595,0.000286336,0.989206,0.0001200269,0.0002673826,0.000150605,8.249673e-7,0.001068577,0.001846659],"genre_scores_gemma":[0.8996723,0.0001658297,0.09979592,0.0001215145,0.00009185835,0.00001306605,0.000004769575,0.00001006944,0.000124662],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8926187,"threshold_uncertainty_score":0.4208352,"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."}}