{"id":"W2949740658","doi":"10.48550/arxiv.1612.07889","title":"Information-Centric Wireless Networks with Virtualization and D2D Communications","year":2016,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Program for Changjiang Scholars and Innovative Research Team in University; Natural Sciences and Engineering Research Council of Canada; Fundamental Research Funds for the Central Universities; Higher Education Discipline Innovation Project; National Science Foundation; State Key Laboratory of Networking and Switching Technology; China Scholarship Council; Beijing University of Posts and Telecommunications","keywords":"Computer science; Backhaul (telecommunications); Computer network; Cellular network; Wireless; Virtualization; Wireless network; Radio access network; Distributed computing; Telecommunications; Cloud computing; Base station; Mobile station","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005927955,0.0006413962,0.0004795655,0.0004137839,0.0006738504,0.001796027,0.001141312,0.0006846501,0.0007819802],"category_scores_gemma":[0.001254816,0.0001965414,0.0004082778,0.001106659,0.0007389723,0.001879118,0.001522592,0.0008192425,0.0001457962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001328242,"about_ca_system_score_gemma":0.001318698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005500514,"about_ca_topic_score_gemma":0.003947339,"domain_scores_codex":[0.9993049,0.0002744431,0.00002832389,0.00008897719,0.0001573325,0.0001459569],"domain_scores_gemma":[0.9994987,0.000193261,0.00005661338,0.0001050625,0.0000915847,0.00005476466],"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":[0.0001870284,0.0001209886,0.001928473,0.0002475631,0.00009929915,0.000584191,0.0001850535,0.5479022,0.009532501,0.3237373,0.007681609,0.1077937],"study_design_scores_gemma":[0.00001272167,0.00004775791,0.0002339605,0.00001509031,0.00002542117,0.0002284076,0.00006467781,0.9612734,0.002002632,0.02753626,0.008542031,0.00001754386],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.045998,0.003682134,0.9330333,0.001016367,0.0002559327,0.00009939022,0.0001010187,0.0003826362,0.01543124],"genre_scores_gemma":[0.9423259,0.001815768,0.05348707,0.0001561933,0.0001024136,0.00006595077,0.00007800794,0.00001916552,0.0019494],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005500514,"threshold_uncertainty_score":0.01093704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03708909742727121,"score_gpt":0.1632252713741255,"score_spread":0.1261361739468543,"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."}}