{"id":"W4234392300","doi":"10.1145/1353536.1346301","title":"Predictor virtualization","year":2008,"lang":"en","type":"article","venue":"ACM SIGPLAN Notices","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Virtualization; Memory hierarchy; Cache; Table (database); Operating system; Parallel computing; Embedded system; Database","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006325235,0.000611836,0.0005476286,0.0003532656,0.0004278518,0.001388499,0.001905891,0.0003455189,0.007674374],"category_scores_gemma":[0.003093872,0.000457438,0.000390069,0.0004557267,0.0004082857,0.002150374,0.001843221,0.0013432,0.002042002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004972203,"about_ca_system_score_gemma":0.001839007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001383177,"about_ca_topic_score_gemma":0.001639355,"domain_scores_codex":[0.999228,0.0001421666,0.00005328946,0.0001198623,0.0002806102,0.0001761084],"domain_scores_gemma":[0.9983863,0.0003980168,0.00009794276,0.0007771676,0.0002300539,0.0001105602],"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":[0.002269064,0.0005827484,0.01989641,0.0006864539,0.0003336489,0.0009612608,0.0007203529,0.1424063,0.09857352,0.1244537,0.08710591,0.5220106],"study_design_scores_gemma":[0.000171476,0.0006165174,0.002886825,0.00009063909,0.0001806668,0.0006732575,0.0001763802,0.6352226,0.1609551,0.03362784,0.1652735,0.0001252573],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1619734,0.00255713,0.7460136,0.000830621,0.0008499319,0.000264785,0.001356069,0.05427943,0.03187514],"genre_scores_gemma":[0.8741291,0.001246092,0.1024621,0.0005756841,0.000188157,0.0002830007,0.002050559,0.001536592,0.01752861],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007674374,"threshold_uncertainty_score":0.02567333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02957593603139608,"score_gpt":0.2567839502200828,"score_spread":0.2272080141886867,"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."}}