{"id":"W4241113734","doi":"10.1145/2528521.1508259","title":"RapidMRC","year":2009,"lang":"en","type":"article","venue":"ACM SIGARCH Computer Architecture News","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Henan Institute of Science and Technology","keywords":"Computer science; Cache; Multi-core processor; Cache algorithms; Parallel computing; Cache invalidation; Overhead (engineering); Smart Cache; Software; Process (computing); Code (set theory); Cache pollution; CPU cache; Operating system; 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":[0.001766612,0.001395619,0.0009803398,0.003401848,0.0005655926,0.001265238,0.003011407,0.000958974,0.01725396],"category_scores_gemma":[0.01214133,0.0005949796,0.000603063,0.00266309,0.0003282671,0.001485162,0.001060897,0.000879623,0.0080353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001220214,"about_ca_system_score_gemma":0.001485879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006126069,"about_ca_topic_score_gemma":0.006295833,"domain_scores_codex":[0.9974044,0.0003558463,0.0001383263,0.0005096514,0.001377489,0.0002143791],"domain_scores_gemma":[0.9900088,0.002275419,0.001033091,0.003260806,0.003260865,0.000161046],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001324924,0.0003294953,0.00899977,0.0008587054,0.0001808439,0.0004185519,0.0002349806,0.09015856,0.04425616,0.01488418,0.1252452,0.7131086],"study_design_scores_gemma":[0.0002268276,0.0004615325,0.009457747,0.0001074907,0.00007283194,0.0009896008,0.00007605567,0.7595081,0.1036292,0.008027889,0.1171133,0.000329436],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09256826,0.002247302,0.6117097,0.0005735942,0.0005136833,0.001124883,0.01869469,0.2212566,0.05131138],"genre_scores_gemma":[0.4738402,0.0006273195,0.4833782,0.0005169802,0.0002167535,0.001069447,0.0129265,0.009294722,0.01812984],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01725396,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01310465275337563,"score_gpt":0.258165818348991,"score_spread":0.2450611655956154,"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."}}