{"id":"W1970383686","doi":"10.1109/icws.2005.123","title":"Transparent caching for nomadic WS clients","year":2005,"lang":"en","type":"article","venue":"","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Computer science; Cache; SOAP; Computer network; Bandwidth (computing); Wireless; Mobile device; Wireless network; Distributed computing; Smart Cache; Cache algorithms; CPU cache; World Wide Web; Operating system","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":[0.0001504488,0.00007611949,0.00008504411,0.00004777439,0.000111469,0.00008182257,0.0004256056,0.0000238208,0.00001054939],"category_scores_gemma":[0.000007137422,0.00006513781,0.00008937755,0.00006083917,0.000007369344,0.0002849716,0.00003512219,0.00005601777,0.0000553207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003130569,"about_ca_system_score_gemma":0.00001719465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005114844,"about_ca_topic_score_gemma":0.00006179929,"domain_scores_codex":[0.9992924,0.00001443301,0.0001379114,0.0002300299,0.0001226547,0.0002026232],"domain_scores_gemma":[0.9995938,0.00004476785,0.00002350768,0.0002480667,0.00002301785,0.00006686675],"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":[0.00003066766,0.0003505773,0.002203866,0.00002817839,0.00005589069,0.000006392509,0.001490453,0.01158701,0.006130975,0.1030174,0.01114095,0.8639576],"study_design_scores_gemma":[0.001230164,0.0001304003,0.001646036,0.00002440189,0.0000130153,0.00001423641,0.00002701157,0.9267784,0.002007067,0.0006960641,0.06709986,0.0003332831],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07769895,0.0001024704,0.9155613,0.001644704,0.0002906188,0.0001228839,0.000001933889,0.0001855423,0.004391653],"genre_scores_gemma":[0.9845268,0.000004813604,0.01225401,0.001174786,0.0001077469,0.00001511527,0.000001971395,0.000004709945,0.001910086],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9151915,"threshold_uncertainty_score":0.2656243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04358384701081258,"score_gpt":0.2687421525797036,"score_spread":0.225158305568891,"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."}}