{"id":"W2094769547","doi":"10.1049/iet-com.2009.0782","title":"Performance analysis of directional CSMA/CA in the presence of deafness","year":2010,"lang":"en","type":"article","venue":"IET Communications","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Beamwidth; Computer science; Directional antenna; Transmitter; Computer network; Wireless ad hoc network; Carrier sense multiple access with collision avoidance; Reuse; Wireless; Offset (computer science); Throughput; Telecommunications; Antenna (radio); Channel (broadcasting); 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":[0.00182766,0.0008264052,0.000630707,0.0009824501,0.0006853418,0.001232433,0.0007008924,0.001032608,0.001720598],"category_scores_gemma":[0.009221835,0.000320627,0.0002968529,0.0009245974,0.001091686,0.0008911955,0.0009452155,0.0006302873,0.0003256618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001642888,"about_ca_system_score_gemma":0.001945675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008971893,"about_ca_topic_score_gemma":0.004202531,"domain_scores_codex":[0.9986131,0.0003468974,0.00004819471,0.0001427844,0.0005285187,0.0003204231],"domain_scores_gemma":[0.9935635,0.003724946,0.0005150689,0.0004185033,0.001588424,0.0001894863],"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":[0.0004697141,0.00007994872,0.00285443,0.0001185194,0.00007056749,0.0002572258,0.0001701265,0.9028959,0.02555992,0.03526272,0.0008669295,0.03139399],"study_design_scores_gemma":[0.000008097318,0.0001001962,0.0003666573,0.000006221018,0.00002091298,0.00008168811,0.000039077,0.9953175,0.001526353,0.002273765,0.000248116,0.00001159505],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.432872,0.003578601,0.5292332,0.001036564,0.0001222207,0.0001215273,0.0001570368,0.0007643721,0.03211452],"genre_scores_gemma":[0.9905292,0.0004872757,0.007854689,0.00005969733,0.00002140881,0.00001846278,0.00002533241,0.00001424971,0.0009897279],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008971893,"threshold_uncertainty_score":0.01783937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02846879948617382,"score_gpt":0.3065655953552354,"score_spread":0.2780967958690616,"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."}}