{"id":"W2151326614","doi":"10.1145/1508244.1508259","title":"RapidMRC","year":2009,"lang":"en","type":"article","venue":"","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":174,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Cache; Multi-core processor; Cache algorithms; Overhead (engineering); Cache invalidation; Parallel computing; Smart Cache; Software; CPU cache; Process (computing); Code (set theory); Cache pollution; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007274897,0.00003414665,0.00003661971,0.00003642529,0.00003654597,0.00005514393,0.0003387553,0.00001522263,0.000008564465],"category_scores_gemma":[0.000006842522,0.00002841304,0.00001723328,0.0001442885,0.000003637302,0.0001275666,0.00002665562,0.00002573574,0.00002941105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004320992,"about_ca_system_score_gemma":0.000008356409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":9.936374e-7,"about_ca_topic_score_gemma":4.660524e-8,"domain_scores_codex":[0.9996853,0.00001048203,0.00005830857,0.0001039147,0.00006142571,0.00008050329],"domain_scores_gemma":[0.999724,0.000008661494,0.00001338525,0.0002055224,0.00002155456,0.00002685868],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[4.452225e-7,0.00002834673,0.00002700177,3.406734e-7,0.000001102382,0.000002506539,0.00006634001,0.0006965142,0.0001772366,0.7592161,0.0370746,0.2027095],"study_design_scores_gemma":[0.0002046607,0.0001920222,0.002699765,0.000006706833,8.180773e-7,0.0000187763,0.000002244677,0.836658,0.01530769,0.1119682,0.03267972,0.0002613975],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0001013615,0.00002192007,0.8721585,0.00181437,0.000030438,0.00001988259,1.242219e-8,0.0009303714,0.1249231],"genre_scores_gemma":[0.3873216,0.000005299088,0.6097127,0.001902657,0.00001352706,3.631187e-7,1.601778e-7,6.769801e-7,0.001043027],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8359615,"threshold_uncertainty_score":0.115865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01268274042116076,"score_gpt":0.2532537885188776,"score_spread":0.2405710480977168,"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."}}