{"id":"W2785393741","doi":"10.1109/pimrc.2017.8292189","title":"Dynamic user-AP association for QoS-aware CSMA in wireless virtualized networks","year":2017,"lang":"en","type":"article","venue":"","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Quality of service; Computer network; Scheduling (production processes); Distributed computing; Wireless network; Throughput; Isolation (microbiology); Wireless; Channel (broadcasting); Frame (networking); Mathematical optimization; Mathematics","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":[0.0009622634,0.0005879113,0.0005809811,0.0002517968,0.0005135696,0.0008381918,0.0009522384,0.0005585204,0.0006519265],"category_scores_gemma":[0.002139541,0.000326186,0.0003335547,0.0004579061,0.001082496,0.00100393,0.001185678,0.0009685733,0.00006982834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009270024,"about_ca_system_score_gemma":0.001431104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002704259,"about_ca_topic_score_gemma":0.002382235,"domain_scores_codex":[0.9992701,0.0003272717,0.00001881981,0.000106521,0.0001402627,0.0001370263],"domain_scores_gemma":[0.9990674,0.0005867206,0.0001315481,0.00006287291,0.00009225385,0.00005920761],"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":[0.0000556084,0.00002766493,0.0003855832,0.0000325509,0.00001592574,0.00007602014,0.00006399834,0.9647194,0.003634237,0.02129523,0.0001663685,0.009527473],"study_design_scores_gemma":[0.000001851246,0.00001384046,0.00002305878,0.000001018033,0.000002317619,0.000008178296,0.000008405432,0.9983133,0.0002665268,0.001245784,0.0001138934,0.000001858418],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03836635,0.0001826365,0.9602339,0.00008482134,0.00002902594,0.00002167804,0.000007724997,0.00004362033,0.001030357],"genre_scores_gemma":[0.9296075,0.0001971574,0.06914346,0.00004019616,0.00003090523,0.00004792305,0.00001341357,0.00001598073,0.0009035064],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002704259,"threshold_uncertainty_score":0.006725907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01513444603826351,"score_gpt":0.2965969125171192,"score_spread":0.2814624664788556,"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."}}