{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009845879,0.0004595832,0.0008415687,0.0004966967,0.0005227515,0.001088797,0.001081925,0.0006559451,0.00104319],"category_scores_gemma":[0.004427716,0.0002852723,0.000254362,0.000817936,0.0006234896,0.001805469,0.0008183729,0.0004596622,0.0002614405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007059847,"about_ca_system_score_gemma":0.0005064578,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001462905,"about_ca_topic_score_gemma":0.001214775,"domain_scores_codex":[0.999492,0.0002266402,0.00003269524,0.00005963977,0.000113345,0.00007570059],"domain_scores_gemma":[0.9981115,0.001061569,0.0001720388,0.000263093,0.000293724,0.0000980527],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006266482,0.0001395442,0.004500799,0.000207235,0.00009683906,0.0002589598,0.0003425111,0.8081222,0.01176206,0.05362098,0.00231018,0.118012],"study_design_scores_gemma":[0.00002155242,0.00005137466,0.0001879612,0.000004864828,0.000009181335,0.00007299716,0.00003654304,0.992029,0.002207998,0.004860824,0.0005112666,0.000006462156],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1110381,0.001498979,0.8841041,0.0001971022,0.00005385028,0.00007047266,0.00003430171,0.0007089363,0.002294254],"genre_scores_gemma":[0.8957437,0.0005038733,0.101658,0.00005539459,0.00003286688,0.00007133566,0.00004673045,0.00004635928,0.00184178],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001462905,"threshold_uncertainty_score":0.005207121,"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."}}