{"id":"W2131497385","doi":"10.1109/aiccsa.2009.5069414","title":"Performance of resource allocation schemes in adaptively modulated TDMA network","year":2009,"lang":"en","type":"article","venue":"","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Computer network; Resource allocation; Overhead (engineering); Weighted round robin; Network packet; Time division multiple access; Telecommunications link; HiperLAN; Wireless network; Wireless; Quality of service; Wireless lan; Telecommunications; Dynamic priority scheduling","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":[0.0002955572,0.00008295733,0.0001329801,0.00004883579,0.00003651737,0.00002564757,0.0004193272,0.00005662067,0.000008077803],"category_scores_gemma":[0.000005055303,0.00007257436,0.0000240867,0.0005963689,0.0000155471,0.0002805443,0.00005310429,0.00008734751,0.000005187344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001661656,"about_ca_system_score_gemma":0.00002814253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001206968,"about_ca_topic_score_gemma":0.000005196227,"domain_scores_codex":[0.9991671,0.00004327731,0.0002320482,0.0001952052,0.0001492744,0.0002130417],"domain_scores_gemma":[0.999521,0.00003049287,0.0000808475,0.0002875548,0.00004595288,0.00003421326],"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":[0.0000876739,0.0001283891,0.009226711,0.00001883262,0.000008601796,0.000003129804,0.0003328825,0.4764695,0.001086716,0.08054289,0.002409479,0.4296852],"study_design_scores_gemma":[0.000242494,0.0001955443,0.07659214,0.00008558209,6.136311e-7,0.000001196917,0.000002995867,0.9174065,0.001703104,0.0006859378,0.00298481,0.00009905567],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6978564,0.0001463433,0.2845917,0.001291784,0.00005939538,0.002865283,2.21515e-7,0.000192592,0.01299623],"genre_scores_gemma":[0.9692166,0.000008974282,0.03020191,0.0002333843,0.0000497117,0.00007735073,0.00000104456,0.000002872613,0.0002081139],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.440937,"threshold_uncertainty_score":0.2959496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01416403766529854,"score_gpt":0.2335441251426314,"score_spread":0.2193800874773329,"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."}}