{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001326534,0.0001784203,0.0001706078,0.0002128305,0.0002375034,0.0002116446,0.001326328,0.0001470435,0.000002749568],"category_scores_gemma":[0.000006935377,0.0001624774,0.00005127991,0.0003703703,0.0001179027,0.0009534727,0.001771605,0.0002826841,0.00001879214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009626024,"about_ca_system_score_gemma":0.0001006315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009461267,"about_ca_topic_score_gemma":0.00002908637,"domain_scores_codex":[0.9991873,0.0001096283,0.0001501725,0.000298363,0.00007038873,0.0001841536],"domain_scores_gemma":[0.9980276,0.0001222992,0.0002300277,0.001325443,0.0001926888,0.0001019785],"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":[0.00005856172,0.0001038446,0.01449979,0.00006936199,0.0001832725,0.00002981259,0.0008118043,0.09047849,0.000006238169,0.871618,0.0006462685,0.02149457],"study_design_scores_gemma":[0.0004449971,0.00002957663,0.000649939,0.0001380928,0.00003745611,0.000005758352,0.00006796434,0.9949107,0.000002094208,0.002841436,0.0006094421,0.0002625555],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05688465,0.00009969057,0.9407253,0.0002181334,0.0001698136,0.0001803771,0.000009161521,0.0001831034,0.001529719],"genre_scores_gemma":[0.9983108,0.0009331872,0.0002465331,0.0001635152,0.00002517573,0.000001249116,0.00003596502,0.000006730767,0.000276828],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9414262,"threshold_uncertainty_score":0.6625637,"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."}}