{"id":"W2058165990","doi":"10.1145/503334.503337","title":"On filter effects in web caching hierarchies","year":2002,"lang":"en","type":"article","venue":"ACM Transactions on Internet Technology","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":90,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Division of Chemistry","keywords":"Computer science; Cache; Cache invalidation; Cache algorithms; Cache pollution; Smart Cache; Zipf's law; CPU cache; Proxy (statistics); Workload; Exploit; Cache coloring; Page cache; Hierarchy; Parallel computing; Computer network; Distributed computing; Operating system; Computer security","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":[0.001860491,0.0005903144,0.0007182389,0.000884072,0.001137265,0.001538309,0.0007206025,0.00138617,0.001989798],"category_scores_gemma":[0.01384794,0.0005366333,0.0005383554,0.000842548,0.001074854,0.003311327,0.0007638879,0.0009286299,0.000258814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00236625,"about_ca_system_score_gemma":0.0009041271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01154096,"about_ca_topic_score_gemma":0.009138154,"domain_scores_codex":[0.9983401,0.0004582053,0.0000540875,0.0001862631,0.0006212419,0.000340082],"domain_scores_gemma":[0.9821572,0.01479458,0.000990482,0.0007943293,0.0009971962,0.0002661279],"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":[0.00112405,0.0004781455,0.03064526,0.0005347509,0.0002777942,0.001106953,0.001927853,0.7047329,0.06758667,0.07562626,0.004922367,0.111037],"study_design_scores_gemma":[0.00008137695,0.0003977209,0.007018287,0.00005200516,0.0001276292,0.0004913564,0.0002335542,0.9520584,0.01709944,0.01881406,0.003559638,0.00006651599],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7297705,0.003043137,0.2510652,0.001129954,0.0001241192,0.000146747,0.0001998902,0.001434209,0.01308625],"genre_scores_gemma":[0.9849799,0.0006301794,0.01258396,0.0001903562,0.00008017381,0.00003026806,0.00006806073,0.00008106465,0.001356046],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01154096,"threshold_uncertainty_score":0.02294755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01350491481795035,"score_gpt":0.216158968423024,"score_spread":0.2026540536050737,"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."}}