{"id":"W2570766309","doi":"10.1007/s11235-016-0264-1","title":"SDN-based wireless user management system","year":2017,"lang":"en","type":"article","venue":"Telecommunication Systems","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Computer network; Quality of service; Wireless network; Throughput; IEEE 802.11; Session (web analytics); Wireless; Service set; Wi-Fi; Telecommunications; World Wide Web","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":["scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.0009661214,0.0001781304,0.0002704452,0.00008659372,0.001064958,0.00141634,0.005553732,0.0000964127,0.000003754184],"category_scores_gemma":[0.000005819269,0.0001648575,0.00007707924,0.0001281333,0.00005832317,0.0005061706,0.0006981191,0.0001628215,0.0002122907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001281724,"about_ca_system_score_gemma":0.00003916926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002653846,"about_ca_topic_score_gemma":0.00001832434,"domain_scores_codex":[0.9982914,0.000297701,0.0004311052,0.0003435536,0.0003311435,0.0003050504],"domain_scores_gemma":[0.9928911,0.00008422512,0.0005547622,0.006241238,0.0001288387,0.0000998775],"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":[0.00002016653,0.0001557622,0.008676554,0.0008477704,0.000111905,0.00002575523,0.0001862816,0.005599201,0.00008569355,0.9077305,0.005792209,0.07076819],"study_design_scores_gemma":[0.001181134,0.00005309593,0.020023,0.0009663302,0.00001437818,0.00001757687,0.0000992217,0.709244,0.0002601632,0.00006698961,0.2675785,0.0004956732],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006405827,0.0003712464,0.9080002,0.001273028,0.001123031,0.00819981,0.000004565318,0.001028874,0.07359345],"genre_scores_gemma":[0.9859558,0.00001896854,0.009203201,0.0000845023,0.00009700919,0.003819564,0.000006274958,0.00001947141,0.0007951921],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.97955,"threshold_uncertainty_score":0.9998267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0312826372106812,"score_gpt":0.2862906205110941,"score_spread":0.2550079833004129,"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."}}