{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006842887,0.0005658714,0.0005676695,0.0003497335,0.0004267374,0.001434523,0.001813455,0.0003414273,0.006509945],"category_scores_gemma":[0.003153021,0.0004292365,0.0003902897,0.0005152519,0.0003967919,0.002101452,0.001706311,0.001353496,0.001920194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004886987,"about_ca_system_score_gemma":0.001824916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001312575,"about_ca_topic_score_gemma":0.001503564,"domain_scores_codex":[0.9992441,0.0001472388,0.00004879521,0.0001116209,0.0002888572,0.0001593562],"domain_scores_gemma":[0.9984226,0.0003997738,0.00009965465,0.000756205,0.000223121,0.00009857502],"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":[0.001676469,0.0004568574,0.01610554,0.0006558612,0.0002973874,0.0007209646,0.0005534299,0.1331152,0.08259173,0.1325945,0.07562232,0.5556096],"study_design_scores_gemma":[0.0001496521,0.0005599844,0.00297612,0.0001001447,0.0001773516,0.0007200569,0.0001662663,0.6305463,0.144791,0.03818993,0.1814996,0.0001235247],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1303546,0.003512728,0.7867868,0.0008693588,0.0008093668,0.0002396665,0.001106584,0.04484792,0.03147295],"genre_scores_gemma":[0.8466722,0.002001586,0.1293622,0.0005509765,0.0002225202,0.0002785088,0.001934941,0.001405605,0.01757145],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006509945,"threshold_uncertainty_score":0.02177787,"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."}}