{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001118099,0.00009578595,0.0001123005,0.00004719096,0.00009723011,0.00009575568,0.0002166639,0.00002489996,0.00000346039],"category_scores_gemma":[0.000002676887,0.00007651054,0.00006327253,0.00005882375,0.00002429584,0.00005083306,0.00004733801,0.00003553999,0.000007780456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002411932,"about_ca_system_score_gemma":0.000009592383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001544071,"about_ca_topic_score_gemma":0.00005065748,"domain_scores_codex":[0.9992096,0.0000131517,0.0001636892,0.0002902515,0.0001230254,0.0002002988],"domain_scores_gemma":[0.9996306,0.0000503319,0.00003007955,0.0001977475,0.0000447738,0.0000465163],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002658609,0.003526367,0.01721956,0.0002853191,0.0002088955,0.0000458785,0.00159752,0.1242991,0.1147847,0.3975917,0.008158869,0.3320162],"study_design_scores_gemma":[0.0008088528,0.0001458371,0.004596874,0.00001413048,0.0000094077,0.000006928439,0.00005509439,0.9916559,0.0008073171,0.0004923544,0.001240255,0.000167044],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5768688,0.0003219023,0.4218456,0.0001691983,0.000178477,0.0002378172,0.000007197229,0.00009716843,0.0002738448],"genre_scores_gemma":[0.9961625,0.000008016086,0.002593531,0.0001535204,0.00001407368,0.00006316331,0.000008234099,0.000004868272,0.0009920562],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8673568,"threshold_uncertainty_score":0.312001,"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."}}