{"id":"W2003309571","doi":"10.1109/ecrts.2013.27","title":"Analysis of Probabilistic Cache Related Pre-emption Delays","year":2013,"lang":"en","type":"preprint","venue":"","topic":"Real-Time Systems Scheduling","field":"Computer Science","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Engineering and Physical Sciences Research Council","keywords":"Probabilistic logic; Cache; Computer science; Scheduling (production processes); Probabilistic analysis of algorithms; Function (biology); Static analysis; Parallel computing; Real-time computing; Mathematical optimization; Programming language; Mathematics","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":[0.002085848,0.000910819,0.0006203123,0.001339522,0.0004095913,0.0009925721,0.001306262,0.0004858405,0.001437309],"category_scores_gemma":[0.01281601,0.0005242327,0.0007546904,0.0006615089,0.0009646345,0.001613663,0.0008775268,0.001165103,0.0001448082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001399646,"about_ca_system_score_gemma":0.002463664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002521381,"about_ca_topic_score_gemma":0.001994706,"domain_scores_codex":[0.9983215,0.00023679,0.00005884043,0.0002497326,0.0008887602,0.0002443769],"domain_scores_gemma":[0.9913732,0.005329056,0.001339372,0.0007273762,0.001022493,0.0002083998],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001214082,0.00003003448,0.003312913,0.0001005706,0.00005450229,0.00008467184,0.0000563436,0.932786,0.01112366,0.03459882,0.0002109128,0.01752008],"study_design_scores_gemma":[0.000006431837,0.00005194362,0.0005845921,0.000008194146,0.00002412389,0.00005004519,0.00001087064,0.9814105,0.005571161,0.01181655,0.0004535667,0.00001201937],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1807881,0.0006814232,0.8136129,0.0002018795,0.00005406294,0.00007637996,0.0001081903,0.000768105,0.003708995],"genre_scores_gemma":[0.9522398,0.0002917423,0.04591583,0.00003844487,0.0000420528,0.0000830959,0.00007924411,0.0001177548,0.001192117],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002521381,"threshold_uncertainty_score":0.01103115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01957326062042232,"score_gpt":0.2626189037684474,"score_spread":0.2430456431480251,"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."}}