{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004942859,0.0000912779,0.00009723016,0.00005965782,0.00004909167,0.0000447523,0.0004923936,0.00005294097,0.00003636159],"category_scores_gemma":[0.000003404004,0.000078433,0.00002066278,0.0002137462,0.00002276902,0.0002604288,0.0000875789,0.0001109371,0.0001351087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004506981,"about_ca_system_score_gemma":0.00001291415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004004662,"about_ca_topic_score_gemma":0.0000542416,"domain_scores_codex":[0.9990209,0.00001954015,0.0002044477,0.0002360058,0.0001880684,0.0003310489],"domain_scores_gemma":[0.999464,0.0000557243,0.00003956437,0.0003629871,0.000004459571,0.00007327199],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00007175671,0.0003920915,0.1170826,0.00006998622,0.00001648969,0.0002061821,0.0009142557,0.01395875,0.00119714,0.07216795,0.005165961,0.7887568],"study_design_scores_gemma":[0.001238125,0.0003011652,0.5532046,0.0001119251,0.000002437666,0.00002556014,0.00001536602,0.3392794,0.008143296,0.001849781,0.09521006,0.0006183028],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0719668,0.00002249127,0.8839098,0.0001734311,0.0002757645,0.001939572,4.061197e-7,0.00008412432,0.04162759],"genre_scores_gemma":[0.9893584,0.00001595811,0.008372571,0.0003689852,0.00008634013,0.0001913342,7.326125e-7,0.000005690496,0.001600012],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9173916,"threshold_uncertainty_score":0.3198405,"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."}}