{"id":"W2148883419","doi":"10.1109/tvt.2008.917238","title":"Proxy-Based Wireless Data Access Algorithms in Mobile Hotspots","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Communications Research Centre Canada","funders":"","keywords":"Computer science; Wireless; Cache; Proxy (statistics); Algorithm; Callback; Mobile wireless; Computer network; Bluetooth; Data access; Database; Operating system; Machine learning","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":[0.0001755546,0.0002031952,0.0002629289,0.0008800734,0.0002304263,0.00005509078,0.002783416,0.0002703579,0.000008409724],"category_scores_gemma":[0.000004655857,0.0002041864,0.0000741068,0.001471114,0.0001676385,0.0005392459,0.00002750136,0.0006226877,0.00005008848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007841316,"about_ca_system_score_gemma":0.000151536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000131105,"about_ca_topic_score_gemma":0.00007773857,"domain_scores_codex":[0.9982352,0.00006261632,0.0002758785,0.0007796166,0.0002726127,0.0003740311],"domain_scores_gemma":[0.9978129,0.00005340757,0.0000651868,0.001943179,0.00006637532,0.00005900029],"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":[0.00009679308,0.003341292,0.002212465,0.00007025876,0.0001612442,0.002589881,0.0002859047,0.1259317,0.02195179,0.0008991715,0.0004524951,0.842007],"study_design_scores_gemma":[0.001247091,0.0002544805,0.0003543565,0.00007167049,0.00001564858,0.0002431237,0.00003128504,0.9505883,0.04531163,0.0002217469,0.001231713,0.000428937],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3452159,0.0001131257,0.6527606,0.0007402262,0.0002905706,0.0002695297,0.00001640404,0.0005696302,0.00002400651],"genre_scores_gemma":[0.9961894,0.0001028621,0.003151586,0.0002510239,0.00001335966,0.0001991306,0.000005585021,0.00001730949,0.00006970193],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8415781,"threshold_uncertainty_score":0.8326482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03881300411109033,"score_gpt":0.2769818341048313,"score_spread":0.2381688299937409,"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."}}