{"id":"W2011543627","doi":"10.1109/glocom.2011.6134330","title":"Collaborative Caching for Video Streaming among Selfish Wireless Service Providers","year":2011,"lang":"en","type":"article","venue":"","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; University of Toronto","funders":"","keywords":"Computer science; Computer network; Cache; Server; Provisioning; Wireless; Service provider; Wireless network; Quality of experience; Quality of service; Service (business); Telecommunications; Business","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":[0.003304195,0.0004841858,0.0009367758,0.0006781035,0.0009078752,0.001373242,0.001812689,0.001206559,0.0008818099],"category_scores_gemma":[0.008731304,0.0004717154,0.0006611472,0.0007608432,0.0009344037,0.001715264,0.00115673,0.0006021423,0.0001414343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001459291,"about_ca_system_score_gemma":0.001145344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002989315,"about_ca_topic_score_gemma":0.003824896,"domain_scores_codex":[0.9985416,0.0007612889,0.00006369114,0.0001662498,0.000290758,0.0001763829],"domain_scores_gemma":[0.9944789,0.003666511,0.0005867209,0.0005205824,0.0004820531,0.0002652191],"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":[0.000376147,0.0002098057,0.002253987,0.0001481079,0.000135584,0.000572619,0.0003607491,0.8383002,0.007275005,0.1173118,0.001343328,0.03171257],"study_design_scores_gemma":[0.00002933132,0.00004119514,0.0001426051,0.000003372855,0.00001683728,0.0000477871,0.00002153128,0.9875324,0.000392602,0.01148751,0.0002782172,0.000006498131],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2641296,0.0007971932,0.7293379,0.0006045134,0.00005306157,0.0001648918,0.00004299856,0.000231157,0.004638613],"genre_scores_gemma":[0.9768927,0.0001525978,0.02189591,0.00003549957,0.00001736607,0.00005342974,0.00001598168,0.00001202641,0.0009245091],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003304195,"threshold_uncertainty_score":0.01747447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01869743796066764,"score_gpt":0.2156087982772644,"score_spread":0.1969113603165968,"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."}}