{"id":"W2114603263","doi":"10.1145/1134680.1134687","title":"Efficient and transparent dynamic content updates for mobile clients","year":2006,"lang":"en","type":"article","venue":"","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Mobile device; Server; Computer network; Proxy server; Proxy (statistics); Web page; Database; Operating system; World Wide Web","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":[0.0006338511,0.0008211343,0.0008756104,0.0006787178,0.0005261713,0.002122959,0.002289403,0.001030958,0.003306576],"category_scores_gemma":[0.004509938,0.000639978,0.0002466492,0.0007383968,0.0004440567,0.002454497,0.002331605,0.0009072424,0.002067833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006418754,"about_ca_system_score_gemma":0.0008489474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00305556,"about_ca_topic_score_gemma":0.002250549,"domain_scores_codex":[0.9988019,0.0001466853,0.00008527331,0.0001573087,0.0006090807,0.0001997399],"domain_scores_gemma":[0.9980287,0.000391678,0.0001748082,0.0008348767,0.0004024507,0.0001674785],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002470661,0.0009068561,0.01302132,0.000358016,0.0001048465,0.001825754,0.001387629,0.03834606,0.2361255,0.01721408,0.01855223,0.669687],"study_design_scores_gemma":[0.0001826586,0.0002710707,0.005535137,0.00004902378,0.00007971616,0.0009618846,0.0003354446,0.8417153,0.1094536,0.006461177,0.03484499,0.0001099683],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2804489,0.001562735,0.6318986,0.0005840843,0.0001749009,0.0009322734,0.0006859105,0.06258882,0.02112365],"genre_scores_gemma":[0.88629,0.000345987,0.1022507,0.0001375911,0.00008105039,0.0002009373,0.0006140146,0.000728722,0.009350969],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003306576,"threshold_uncertainty_score":0.01106155,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02129736745178967,"score_gpt":0.2375496061751758,"score_spread":0.2162522387233861,"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."}}