{"id":"W2028769336","doi":"10.1109/glocom.2013.6831074","title":"Performance analysis of grouping strategy for dense IEEE 802.11 networks","year":2013,"lang":"en","type":"article","venue":"","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Computer network; Channel (broadcasting); Limiting; IEEE 802; Wireless network; Wireless; IEEE 802.11; Telecommunications; Quality of service; Engineering","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":[0.002287908,0.001056601,0.0008482747,0.00120975,0.0009633399,0.0008556732,0.001090319,0.0009057153,0.001241608],"category_scores_gemma":[0.009785608,0.000313421,0.0003626884,0.001316421,0.001141997,0.001256017,0.001044251,0.0005036199,0.0002718766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002104421,"about_ca_system_score_gemma":0.001084745,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006143691,"about_ca_topic_score_gemma":0.003790447,"domain_scores_codex":[0.9984741,0.0004699976,0.00003762511,0.0001478393,0.000494184,0.0003763209],"domain_scores_gemma":[0.9939675,0.003660583,0.0007443684,0.0003575475,0.001086886,0.0001830059],"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":[0.000170279,0.00008022389,0.001616807,0.00009196619,0.00003341176,0.0001190426,0.0001980118,0.9499681,0.007887236,0.01608707,0.001083989,0.02266381],"study_design_scores_gemma":[0.000004524057,0.0001136468,0.0004218693,0.000007491988,0.00001286588,0.00005230328,0.00004656064,0.9956735,0.001129422,0.002326173,0.0002023581,0.000009323859],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.452735,0.002682231,0.5236712,0.0007340978,0.000121854,0.0002236391,0.0001455508,0.0007767362,0.01890972],"genre_scores_gemma":[0.988744,0.0003602475,0.009894192,0.00004887528,0.00001971556,0.00003996963,0.00003891545,0.00002205735,0.0008320573],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006143691,"threshold_uncertainty_score":0.01526868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0299980586698713,"score_gpt":0.2669473606766227,"score_spread":0.2369493020067514,"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."}}