{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001141679,0.0000920315,0.00009636308,0.00008774771,0.0001875134,0.00006335443,0.001053723,0.0000506552,0.00001494],"category_scores_gemma":[0.0002098714,0.00008487721,0.0000272872,0.0002605042,0.00003623398,0.0004086304,0.0002257888,0.0000620494,0.00006628668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001281439,"about_ca_system_score_gemma":0.00003700572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001495531,"about_ca_topic_score_gemma":0.000001540684,"domain_scores_codex":[0.9991903,0.0000507679,0.0001595525,0.0002375926,0.0002049494,0.000156792],"domain_scores_gemma":[0.9990726,0.0001414554,0.00008741875,0.0005735835,0.00006554886,0.00005937072],"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":[0.00007314228,0.0009132113,0.1164645,0.0001515667,0.0002037997,0.0004151577,0.02359556,0.1326435,0.002078077,0.3222754,0.3502717,0.05091434],"study_design_scores_gemma":[0.0007105049,0.0003393981,0.03769566,0.00005924019,0.00001325724,0.0001043955,0.00002676548,0.9135343,0.007278365,0.007711296,0.03178714,0.0007396447],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03277083,0.0001046572,0.9606217,0.0004432351,0.0002317401,0.00008714507,0.000001646469,0.001136592,0.004602415],"genre_scores_gemma":[0.7990352,0.00004009737,0.2000402,0.0003997162,0.00008019661,0.000004997819,0.000009221905,0.000006274105,0.0003840792],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7808908,"threshold_uncertainty_score":0.3461192,"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."}}