{"id":"W4214851387","doi":"10.1109/date.2012.6176514","title":"Toward virtualizing branch direction prediction","year":2012,"lang":"en","type":"article","venue":"","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Proxy (statistics); Virtualization; Branch predictor; Table (database); Set (abstract data type); Operating system; Database; Machine learning; Cloud computing; Programming language","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":[0.0007119675,0.0005631845,0.0003201868,0.0004449732,0.0003387969,0.001168092,0.001576749,0.0002951115,0.001304858],"category_scores_gemma":[0.002836141,0.0003662282,0.0002482287,0.0003799344,0.0004681933,0.001933102,0.0009601822,0.0009465457,0.0003955207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006616691,"about_ca_system_score_gemma":0.001567437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001420099,"about_ca_topic_score_gemma":0.002651088,"domain_scores_codex":[0.9992802,0.0001851493,0.00004948427,0.0001291061,0.0002436468,0.0001126236],"domain_scores_gemma":[0.9977571,0.0006874668,0.0002644891,0.0006654685,0.0004929061,0.0001325576],"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":[0.001624075,0.0003331263,0.01663926,0.0003529541,0.0001677059,0.0003641224,0.0004858186,0.2366949,0.2583207,0.04302264,0.008540141,0.4334546],"study_design_scores_gemma":[0.00006492833,0.0004751497,0.001674072,0.00005714925,0.0001195221,0.0003059354,0.0000862881,0.8419574,0.1157877,0.01361229,0.02579905,0.00006058102],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.285394,0.002312686,0.6979756,0.000709958,0.0003617665,0.00007018496,0.000135496,0.005268475,0.007771939],"genre_scores_gemma":[0.8258163,0.0004382433,0.170785,0.0003567959,0.0001006057,0.00005718308,0.0001228414,0.000152061,0.002170972],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001576749,"threshold_uncertainty_score":0.004800797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03024820097488666,"score_gpt":0.2638931291602407,"score_spread":0.233644928185354,"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."}}