{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003059415,0.0003224506,0.0003186401,0.0003384507,0.0002302782,0.0003195302,0.003562951,0.0001115454,0.00001225702],"category_scores_gemma":[0.00008924805,0.0002818333,0.0001709994,0.0006810827,0.00005214073,0.0002467283,0.000817137,0.0004580539,0.00005691042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003691144,"about_ca_system_score_gemma":0.00007975323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001282495,"about_ca_topic_score_gemma":0.000002934408,"domain_scores_codex":[0.997617,0.0002050807,0.0003764528,0.0007560964,0.0004525323,0.0005928417],"domain_scores_gemma":[0.9973316,0.0002740558,0.0001165306,0.001936702,0.0001089359,0.0002322344],"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":[0.000007847561,0.00008654655,0.00009115757,0.000005539898,0.00001547543,0.00003217,0.0008372315,0.0156847,0.0003376764,0.01043355,0.02235683,0.9501113],"study_design_scores_gemma":[0.001708537,0.00204694,0.008247334,0.0001417078,0.00001572431,0.00043812,0.000005334184,0.4486366,0.005883,0.3598008,0.1714602,0.001615623],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001423349,0.0001403259,0.9798281,0.01237614,0.0003335491,0.0002682986,8.052764e-7,0.001866385,0.003763087],"genre_scores_gemma":[0.1438998,0.00002425954,0.847522,0.007925233,0.0004697594,0.000007432896,0.000006060333,0.00001387883,0.0001316535],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9484956,"threshold_uncertainty_score":0.9999634,"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."}}