{"id":"W2120117879","doi":"10.1155/wcn.2005.57","title":"A Proxy Architecture to Enhance the Performance of WAP 2.0 by Data Compression","year":2005,"lang":"en","type":"article","venue":"EURASIP Journal on Wireless Communications and Networking","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; CDMA2000; Computer network; Wireless; Wireless Application Protocol; Data compression; Wireless network; Telecommunications; Algorithm; Code division multiple access","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":[0.0005037106,0.0005382515,0.0004100351,0.0007167773,0.0003612965,0.0009738452,0.001118513,0.0005223368,0.001413575],"category_scores_gemma":[0.001554042,0.000266009,0.000226559,0.0005296935,0.0002972897,0.001622212,0.0007817101,0.0008383288,0.0007317886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003653341,"about_ca_system_score_gemma":0.000362481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004668251,"about_ca_topic_score_gemma":0.0003739091,"domain_scores_codex":[0.9996723,0.00005342579,0.00003586003,0.00004678216,0.0001304503,0.00006117637],"domain_scores_gemma":[0.9989912,0.000169278,0.00008187265,0.000364138,0.00032524,0.00006834548],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001229859,0.00033349,0.003930524,0.0003290027,0.00009901712,0.001087917,0.0003312727,0.02179405,0.6197109,0.02007572,0.006181796,0.3248965],"study_design_scores_gemma":[0.0001185496,0.0008915011,0.003441089,0.00004930274,0.0001141825,0.002250924,0.00008856349,0.4017797,0.5531887,0.004308517,0.03366152,0.0001074701],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3152403,0.001325264,0.6556567,0.0003390404,0.0003229706,0.0002834635,0.0001448135,0.01676793,0.00991947],"genre_scores_gemma":[0.8702478,0.0004338704,0.1214253,0.0001967852,0.0001170822,0.0001106276,0.0004211276,0.0003986996,0.006648676],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001413575,"threshold_uncertainty_score":0.004728913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03314064306716114,"score_gpt":0.2940756504737002,"score_spread":0.260935007406539,"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."}}