{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001672215,0.00009147431,0.00009953049,0.00007922452,0.00009917451,0.000156421,0.001397215,0.00004293235,0.0000121544],"category_scores_gemma":[0.0001230114,0.00008146329,0.00003259299,0.0002248605,0.00001385345,0.0003128703,0.0001241139,0.00007729513,0.00007580747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008948999,"about_ca_system_score_gemma":0.00001910298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006306586,"about_ca_topic_score_gemma":7.544493e-7,"domain_scores_codex":[0.9992597,0.00003731613,0.0001342328,0.0002318861,0.0001509758,0.000185856],"domain_scores_gemma":[0.9990504,0.0001151405,0.00006780104,0.0006675927,0.00004026228,0.0000587814],"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":[0.00002184574,0.0003233452,0.002022902,0.00002224514,0.00003743824,0.00009586505,0.002403245,0.01489602,0.001701674,0.2414044,0.1051774,0.6318936],"study_design_scores_gemma":[0.001323907,0.001395862,0.03914593,0.0001410039,0.00002764863,0.00007402156,0.00004915911,0.6675673,0.03104842,0.1625974,0.09483474,0.001794658],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008295741,0.0002799286,0.9570976,0.005490443,0.0002252184,0.0001025557,7.433196e-7,0.001599067,0.02690866],"genre_scores_gemma":[0.6723591,0.0000123338,0.3260057,0.001369613,0.00005507279,0.000001065284,0.000001953242,0.000002464193,0.0001926696],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6640634,"threshold_uncertainty_score":0.3321977,"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."}}