{"id":"W2126514643","doi":"10.1023/a:1019697023170","title":"Evaluation of Strong Consistency Web Caching Techniques","year":2002,"lang":"en","type":"article","venue":"World Wide Web","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":28,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Canada; University of Wisconsin-Madison","keywords":"Computer science; Cache; Cache invalidation; Cache algorithms; Smart Cache; Distributed computing; Consistency (knowledge bases); Eventual consistency; Cache coherence; Causal consistency; Consistency model; Computer network; CPU cache; Data consistency; Sequential consistency","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0012258,0.0001033637,0.000149487,0.0002269908,0.00009554984,0.00005921367,0.0004079959,0.00002733442,0.00008721525],"category_scores_gemma":[0.0001422072,0.0001008707,0.0000839697,0.0003224373,0.00003786323,0.0003030818,0.0001073135,0.0001408626,0.00003116625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008017695,"about_ca_system_score_gemma":0.00007849206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007610298,"about_ca_topic_score_gemma":0.0002767232,"domain_scores_codex":[0.9984878,0.0001977347,0.0002537444,0.0002471511,0.0006383262,0.0001752977],"domain_scores_gemma":[0.9990214,0.0001206613,0.0001206252,0.0004697341,0.0002215729,0.00004605601],"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":[0.000008129497,0.0003431495,0.01435031,0.0000493799,0.0001396361,0.00002296462,0.0008923965,0.001109765,0.04240035,0.0749274,0.03629207,0.8294644],"study_design_scores_gemma":[0.0004793648,0.00006130052,0.0009790052,0.0001623127,0.00007824534,0.00001127446,0.00003624119,0.9857638,0.002739985,0.00167717,0.007744513,0.0002667473],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4116932,0.006195048,0.03994232,0.005522096,0.001432944,0.001006904,0.0000150877,0.001412274,0.5327802],"genre_scores_gemma":[0.9963525,0.00002003025,0.002268035,0.0002000094,0.00004352716,0.00001494993,9.112143e-7,0.000006695031,0.001093358],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9846541,"threshold_uncertainty_score":0.4113388,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05286046055294654,"score_gpt":0.2679706923057275,"score_spread":0.215110231752781,"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."}}