{"id":"W1483431935","doi":"10.1002/wcm.1252","title":"IEEE 802.11 medium access control enhancements based on simultaneous multiple‐input multiple‐output bandwidth sharing","year":2012,"lang":"en","type":"article","venue":"Wireless Communications and Mobile Computing","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"National Plan for Science, Technology and Innovation","keywords":"Computer science; MIMO; Computer network; Bandwidth (computing); Distributed coordination function; Throughput; Bottleneck; Spectral efficiency; Channel (broadcasting); Wireless; IEEE 802.11; Telecommunications; Embedded system","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":[0.002012084,0.0005926425,0.0003797694,0.0005756058,0.0004182164,0.0008196567,0.001063288,0.0004331273,0.001095581],"category_scores_gemma":[0.003425285,0.0001879436,0.0002298435,0.0004154659,0.0005681236,0.001026536,0.0006591844,0.0008985337,0.0002190029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005130417,"about_ca_system_score_gemma":0.000428216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001118736,"about_ca_topic_score_gemma":0.001273561,"domain_scores_codex":[0.9985889,0.0004522495,0.0001013212,0.0001443006,0.0005376083,0.0001757267],"domain_scores_gemma":[0.9972801,0.0007522349,0.0003898633,0.0003902186,0.001099928,0.00008767372],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001105661,0.0006280754,0.006617082,0.0005308157,0.0002690614,0.0007881164,0.0005130286,0.3225378,0.2679703,0.08697438,0.01080856,0.301257],"study_design_scores_gemma":[0.00006472458,0.000613809,0.00185015,0.00002992707,0.00009443812,0.0004637685,0.00005936992,0.9233111,0.05017468,0.004953839,0.01832041,0.00006372586],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2244992,0.002695214,0.7469467,0.000768617,0.0008264094,0.0002565894,0.00009865827,0.002387116,0.02152144],"genre_scores_gemma":[0.9696903,0.000351528,0.02781064,0.0001072209,0.0001121257,0.00008062084,0.00004520479,0.00001410293,0.001788257],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002012084,"threshold_uncertainty_score":0.0106411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03630323672239911,"score_gpt":0.3084073078213191,"score_spread":0.27210407109892,"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."}}