{"id":"W1594176915","doi":"10.1109/cloud.2015.147","title":"EdgeX: Edge Replication for Web Applications","year":2015,"lang":"en","type":"article","venue":"","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Latency (audio); Data center; Enhanced Data Rates for GSM Evolution; Computer network; Java; Replication (statistics); Distributed computing; Dynamic web page; Web application; Operating system; World Wide Web; Web service; Telecommunications","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":[0.0002414158,0.00004505308,0.00004937087,0.00003618147,0.00006064455,0.00007051649,0.0004087592,0.00002285131,0.000001339058],"category_scores_gemma":[0.00003554223,0.00004027734,0.00003571205,0.0001294017,0.000009252974,0.0001777265,0.00006663154,0.00002776165,0.0001227499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002583024,"about_ca_system_score_gemma":0.00007019516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001370298,"about_ca_topic_score_gemma":0.000004577616,"domain_scores_codex":[0.9994627,0.000009482337,0.0000926002,0.0002565621,0.00008228521,0.00009638019],"domain_scores_gemma":[0.9989672,0.00003819933,0.00002928815,0.0007450086,0.0001438283,0.00007649494],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004575938,0.0000706167,0.0002358355,0.000005926072,0.000007715082,1.705467e-7,0.00009827402,0.00003282484,0.004399502,0.7110776,0.132815,0.151252],"study_design_scores_gemma":[0.000515554,0.00006776823,0.0002149947,0.000003582129,0.000006258574,0.000008856131,0.00004632386,0.2132912,0.00134023,0.01998133,0.7643474,0.0001764716],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001161909,0.00008432766,0.9752264,0.002283443,0.0001318538,0.0002766835,0.000001908773,0.0002788997,0.02055456],"genre_scores_gemma":[0.9557762,0.000004152545,0.03444003,0.001084242,0.000213161,0.000544323,0.00001297636,0.000006621203,0.007918312],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9546143,"threshold_uncertainty_score":0.1642462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06422361188495253,"score_gpt":0.2876128829361424,"score_spread":0.2233892710511899,"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."}}