{"id":"W2150943066","doi":"10.1109/jsac.2002.807342","title":"Performance analysis of ad hoc wireless LANs for real-time traffic","year":2003,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Computer network; Wireless ad hoc network; Network packet; Wireless; Throughput; Base station; Wireless lan; Distributed computing; Real-time computing; Telecommunications","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008261605,0.0001469227,0.0003917024,0.0005690178,0.0003190145,0.00009269897,0.001876976,0.00009179772,0.00001478255],"category_scores_gemma":[0.00006218112,0.0001349949,0.0001610109,0.003314124,0.00006122584,0.0002521201,0.00004423932,0.0004222646,0.000004841452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001038582,"about_ca_system_score_gemma":0.0002413074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003617125,"about_ca_topic_score_gemma":0.0001077145,"domain_scores_codex":[0.9982561,0.000437213,0.0005834899,0.0001882263,0.0002373212,0.0002976723],"domain_scores_gemma":[0.996914,0.0008015103,0.0003846179,0.001361162,0.0004378377,0.0001008316],"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":[0.0004303449,0.004559005,0.0198288,0.0001122202,0.002874483,0.00001303214,0.006326473,0.5966721,0.00977714,0.03548444,0.006569353,0.3173526],"study_design_scores_gemma":[0.0009155352,0.0004073763,0.01633269,0.0001964868,0.0001368029,0.00002703937,0.00002421778,0.9746042,0.0007874232,0.0002216725,0.006068716,0.0002778311],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9618204,0.0003234993,0.03124673,0.0009455241,0.0001529821,0.002322908,0.00002387136,0.0001140411,0.00305004],"genre_scores_gemma":[0.9746005,0.001940725,0.02280118,0.00005777348,0.00002116504,0.0004583377,0.00001226952,0.00001357416,0.00009445627],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3779321,"threshold_uncertainty_score":0.5504934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03134877121696743,"score_gpt":0.3017720357285887,"score_spread":0.2704232645116212,"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."}}