{"id":"W2599866319","doi":"10.1109/vtcfall.2016.7880863","title":"A New Performance Evaluation Metric for Radio Resource Management in Wireless Local Area Networks","year":2016,"lang":"en","type":"article","venue":"","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ericsson (Canada)","funders":"","keywords":"Computer science; Computer network; Radio resource management; Metric (unit); Performance indicator; Throughput; Local area network; Wi-Fi; Performance metric; Wireless; Wireless network; Key (lock); Wireless lan; Telecommunications; Engineering; Computer security","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":[0.007482011,0.002323102,0.001466595,0.00404136,0.0008718863,0.002942368,0.00164823,0.001344043,0.001258037],"category_scores_gemma":[0.02668178,0.0002741803,0.0004916926,0.003149407,0.001213863,0.006354243,0.001659674,0.001691498,0.0007673608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001624204,"about_ca_system_score_gemma":0.001015171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000961779,"about_ca_topic_score_gemma":0.0006900491,"domain_scores_codex":[0.9859312,0.004074258,0.00158296,0.001310952,0.006505349,0.0005952914],"domain_scores_gemma":[0.9707393,0.01489786,0.004061977,0.002396462,0.006858959,0.001045472],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001275978,0.0008847307,0.03981178,0.002128923,0.0005186985,0.0004175379,0.0006529408,0.2650531,0.06411118,0.07031635,0.01612736,0.5387015],"study_design_scores_gemma":[0.00005064347,0.003035734,0.01791894,0.0002513307,0.0002268566,0.001438067,0.0004415224,0.8904667,0.03779443,0.0191379,0.02892562,0.0003122484],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0496892,0.004954238,0.9279941,0.000598629,0.0006701032,0.000486088,0.001075266,0.002371578,0.0121608],"genre_scores_gemma":[0.7645792,0.001755747,0.2274545,0.0003063436,0.0006532685,0.0007785538,0.001857275,0.0003674048,0.002247768],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007482011,"threshold_uncertainty_score":0.03956908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0267544613669346,"score_gpt":0.2681397081108152,"score_spread":0.2413852467438806,"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."}}