{"id":"W4238588277","doi":"10.1145/1508284.1508259","title":"RapidMRC","year":2009,"lang":"en","type":"article","venue":"ACM SIGPLAN Notices","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Cache; Multi-core processor; Parallel computing; Cache algorithms; Overhead (engineering); Cache invalidation; Smart Cache; Process (computing); Software; Code (set theory); Operating system; CPU cache; 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":[0.001760746,0.001433887,0.0009886614,0.003411018,0.0005570535,0.001269794,0.003097966,0.000972511,0.01725083],"category_scores_gemma":[0.01205636,0.0006058586,0.0006054305,0.002665195,0.0003337837,0.001470382,0.00108055,0.0008715147,0.007987258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001230185,"about_ca_system_score_gemma":0.001525347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006365058,"about_ca_topic_score_gemma":0.006587715,"domain_scores_codex":[0.9973575,0.0003583127,0.0001428108,0.0005271594,0.001394512,0.0002196897],"domain_scores_gemma":[0.9900188,0.002289553,0.001039176,0.003244937,0.003241993,0.0001655167],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001375451,0.0003382438,0.009378827,0.0008949736,0.000184868,0.0004338475,0.0002472757,0.0939689,0.04503058,0.01398979,0.122481,0.7116762],"study_design_scores_gemma":[0.0002265756,0.0004698712,0.009539134,0.0001073443,0.00007414805,0.0009841468,0.00007752706,0.7617584,0.1042279,0.007527249,0.1146795,0.0003283737],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.09444012,0.002230455,0.6039267,0.0005535175,0.0004982727,0.001144888,0.01939058,0.2283659,0.0494496],"genre_scores_gemma":[0.4800412,0.0006179677,0.4773806,0.0005056355,0.0002100562,0.001077812,0.01332548,0.009373288,0.01746787],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01725083,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02070682735645182,"score_gpt":0.2700367176350224,"score_spread":0.2493298902785706,"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."}}