{"id":"W2131199936","doi":"10.1109/mcom.2008.4644119","title":"Improved VoIP capacity in mobile WiMAX systems using persistent resource allocation","year":2008,"lang":"en","type":"article","venue":"IEEE Communications Magazine","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nortel (Canada)","funders":"","keywords":"Voice over IP; WiMAX; Computer science; Computer network; Mobile communications over IP; Wireless broadband; IEEE 802; Overhead (engineering); Mobile broadband; Resource allocation; Wireless; Mobile telephony; Telecommunications; Mobile radio; Wireless network; The Internet; Quality of service; Public land mobile network","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":[0.0001611766,0.0001732285,0.0002143808,0.000173126,0.0002068169,0.00002253602,0.0004969202,0.0001004058,0.000004611048],"category_scores_gemma":[0.00002241506,0.0002093391,0.00005707142,0.0005776876,0.0001321527,0.0002604076,0.00007015697,0.0002977053,0.00002355013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004435653,"about_ca_system_score_gemma":0.00002467198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006227772,"about_ca_topic_score_gemma":0.0001148096,"domain_scores_codex":[0.998931,0.0001089674,0.0004153223,0.0001733106,0.0001223058,0.0002491052],"domain_scores_gemma":[0.9982432,0.0000927833,0.00008756653,0.001402626,0.0001104675,0.00006334971],"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":[0.000004085559,0.00005577758,0.0002154538,0.00002891968,0.0000165891,7.395248e-7,0.0005468342,0.9850673,0.01327066,0.0000483237,0.0003190178,0.0004263133],"study_design_scores_gemma":[0.0003129586,0.00001913306,0.0002305823,0.00006628637,0.00001391827,0.00003292791,0.0001245277,0.9895461,0.0002327226,0.00000545341,0.009209387,0.0002060653],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6893209,0.01004598,0.2918175,0.0001450495,0.0006714058,0.001712658,0.0000325234,0.0009792815,0.005274713],"genre_scores_gemma":[0.9750838,0.001532889,0.02281486,0.00001518338,0.00007044462,0.0001908344,0.00008461514,0.00005509149,0.0001523137],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2857629,"threshold_uncertainty_score":0.8536599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0518988625697324,"score_gpt":0.2465021145805149,"score_spread":0.1946032520107825,"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."}}