{"id":"W1539925810","doi":"10.1109/icc.2015.7248914","title":"AppRAN: Application-oriented radio access network sharing in mobile networks","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Computer science; Radio access network; Computer network; Quality of service; Cellular network; Resource allocation; Shared resource; Radio resource management; Distributed computing; Resource management (computing); Telecommunications; Wireless network; Base station; Mobile station; Wireless","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":[0.001567181,0.0004963862,0.000521966,0.0003294425,0.0004500631,0.0008069763,0.001279533,0.0004259142,0.001165469],"category_scores_gemma":[0.001897257,0.0001949873,0.0002805253,0.0004724483,0.0006778593,0.000933372,0.001489913,0.0006322779,0.000228334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006074234,"about_ca_system_score_gemma":0.001078054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001287895,"about_ca_topic_score_gemma":0.001750443,"domain_scores_codex":[0.9992005,0.0003100065,0.00002630112,0.00009121071,0.0002679132,0.000104123],"domain_scores_gemma":[0.9995758,0.0001733866,0.00006095186,0.00007360701,0.00007732022,0.00003888216],"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":[0.0001120134,0.00008538931,0.0004781646,0.00008806407,0.00002414067,0.0001093466,0.0000635366,0.7975847,0.005862272,0.1195913,0.002292421,0.0737087],"study_design_scores_gemma":[0.00001152347,0.00004704227,0.0000849711,0.000005287019,0.000004524643,0.0000522915,0.00001177776,0.9785257,0.001022023,0.01725722,0.002971248,0.000006389806],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01205436,0.0003092099,0.9824719,0.00008394731,0.00005123606,0.00008081408,0.00002071001,0.0002190932,0.00470856],"genre_scores_gemma":[0.6547406,0.0005833847,0.3406758,0.0001509119,0.00006935767,0.0002078609,0.0001013634,0.000081,0.003389733],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001567181,"threshold_uncertainty_score":0.008288145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01198368385198157,"score_gpt":0.2503302119371732,"score_spread":0.2383465280851916,"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."}}