{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001291696,0.0003951783,0.0007660306,0.0003795835,0.001352228,0.002021229,0.001616176,0.001088508,0.002151942],"category_scores_gemma":[0.005254117,0.000427608,0.0002922219,0.0005699527,0.000640722,0.002053628,0.001346442,0.0008342369,0.0005852534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001470743,"about_ca_system_score_gemma":0.001819602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009583651,"about_ca_topic_score_gemma":0.01347188,"domain_scores_codex":[0.999236,0.0001735786,0.00006638125,0.0001135497,0.0002514653,0.0001590837],"domain_scores_gemma":[0.9961177,0.00100149,0.0003513289,0.001412574,0.000810053,0.000306745],"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":[0.005042247,0.001193163,0.04118549,0.0006171869,0.0002699119,0.006586083,0.003763253,0.2121123,0.258625,0.1764911,0.02090768,0.2732066],"study_design_scores_gemma":[0.000114996,0.0001832182,0.003265918,0.00002916132,0.00006475167,0.0005721155,0.0004517719,0.9388057,0.03103758,0.01543281,0.009979386,0.00006260596],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6809241,0.0007314789,0.296581,0.0006403363,0.0001452318,0.0001896046,0.0001805065,0.004003965,0.01660384],"genre_scores_gemma":[0.9721319,0.0001389975,0.02238122,0.00005992243,0.00002855212,0.00004983179,0.00009841398,0.00008046767,0.005030642],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009583651,"threshold_uncertainty_score":0.01905572,"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."}}