{"id":"W4230565771","doi":"10.1145/1353535.1346301","title":"Predictor virtualization","year":2008,"lang":"en","type":"article","venue":"ACM SIGOPS Operating Systems Review","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; Virtualization; Memory hierarchy; Cache; Table (database); Operating system; Chip; Embedded system; Parallel computing; Database","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":[0.0006672685,0.0001810293,0.0003763008,0.00006289211,0.0003550619,0.0001382842,0.001283929,0.00006257727,0.000009516131],"category_scores_gemma":[0.0009240094,0.0001529467,0.00007070338,0.0005506653,0.00002688531,0.0004513811,0.0003075428,0.0001129665,0.0000860624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004211025,"about_ca_system_score_gemma":0.00009977249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002966766,"about_ca_topic_score_gemma":2.578604e-7,"domain_scores_codex":[0.9980868,0.0003330063,0.0006147744,0.0004004575,0.0003422443,0.000222732],"domain_scores_gemma":[0.9981881,0.0001209743,0.0002127635,0.001134945,0.0002554968,0.00008776372],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000034089,0.0004856103,0.007845891,0.01143038,0.0002159875,0.0002421288,0.003945231,0.04895597,0.0008492034,0.2023183,0.68043,0.04327792],"study_design_scores_gemma":[0.0006316978,0.0003919864,0.0004918912,0.01707883,0.00004076599,0.001042443,0.00001690811,0.8000264,0.0004136958,0.0002565648,0.1782258,0.001383097],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0003488993,0.06135873,0.9326181,0.0005930384,0.0004239017,0.0007167511,0.000001545493,0.001158877,0.002780162],"genre_scores_gemma":[0.4613301,0.08848629,0.4395155,0.005095045,0.0006575481,0.0004953186,0.00006443218,0.00008310584,0.004272725],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7510704,"threshold_uncertainty_score":0.6236983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03768280026804617,"score_gpt":0.2854043638973564,"score_spread":0.2477215636293102,"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."}}