{"id":"W2105857670","doi":"10.1109/vetecs.2007.122","title":"IEEE 802.11b SDMA Performance in Realistic Environments","year":2007,"lang":"en","type":"article","venue":"","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Space-division multiple access; Computer science; Physical layer; IEEE 802.11; Computer network; Wi-Fi; Channel (broadcasting); Wireless lan; IEEE 802; Throughput; Wireless network; Wireless; Telecommunications; Telecommunications link","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":[0.002146296,0.0005930979,0.0004695148,0.0003876642,0.000553059,0.0009796564,0.0005667823,0.0008167906,0.0005814515],"category_scores_gemma":[0.00851276,0.0002721222,0.0001564283,0.0005756653,0.0006690747,0.001133685,0.000596478,0.0005824624,0.0002100104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000710274,"about_ca_system_score_gemma":0.0005508176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002883459,"about_ca_topic_score_gemma":0.001369633,"domain_scores_codex":[0.9983352,0.0004777256,0.0001082489,0.0001854936,0.0006468134,0.0002464429],"domain_scores_gemma":[0.9957708,0.002134746,0.0003895019,0.0005427633,0.001027907,0.0001343325],"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":[0.001620939,0.0006926256,0.02074291,0.0003661147,0.0001485527,0.0003326006,0.000558588,0.8125785,0.08499191,0.007207581,0.002616926,0.06814268],"study_design_scores_gemma":[0.0001325663,0.001556697,0.009137332,0.00002724998,0.00005478973,0.0003473418,0.0002290438,0.9221557,0.06162862,0.002567899,0.002102782,0.00005995706],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.931271,0.0004053621,0.0625141,0.0002338811,0.0001059518,0.00006740878,0.0002089606,0.0006916141,0.004501816],"genre_scores_gemma":[0.9925451,0.0001078994,0.006707647,0.00002539351,0.000008535046,0.00002562855,0.0001776768,0.0000199986,0.0003822061],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002883459,"threshold_uncertainty_score":0.01135087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01612129895091449,"score_gpt":0.2492965456684554,"score_spread":0.2331752467175409,"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."}}