{"id":"W2142743095","doi":"10.1109/glocom.2006.711","title":"WLC17-3: Performance of IEEE802.16 Random Access Protocol - Transient Queueing Analysis","year":2006,"lang":"en","type":"article","venue":"Globecom","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Computer network; Retransmission; Random access; Exponential backoff; Queueing theory; Orthogonal frequency-division multiple access; Code division multiple access; Queue; Real-time computing; Orthogonal frequency-division multiplexing; Throughput; Network packet; Wireless; Telecommunications; Channel (broadcasting)","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":[0.00009516657,0.0001645498,0.0003325684,0.0001741979,0.00005075614,0.00002563709,0.0001842048,0.00006664718,0.0001164374],"category_scores_gemma":[0.000003262818,0.0001644043,0.0001218303,0.0009715123,0.00002788392,0.000351222,0.00001975125,0.00009293872,0.000005033653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000097605,"about_ca_system_score_gemma":0.00001115851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009148876,"about_ca_topic_score_gemma":0.0001851021,"domain_scores_codex":[0.9989749,0.00002151179,0.0004079199,0.0001702797,0.000177524,0.0002478293],"domain_scores_gemma":[0.9995502,0.00002945336,0.00008498574,0.0002434695,0.0000547283,0.00003715934],"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":[0.00005697196,0.00002463327,0.009919379,0.0001210463,0.00008525481,8.912787e-7,0.00002485765,0.9857197,0.0002343909,0.00004164561,0.0003143705,0.003456797],"study_design_scores_gemma":[0.001533392,0.0000212229,0.01362771,0.00004913209,0.000118139,9.623789e-7,0.000005104787,0.9738042,0.00766548,0.00003559577,0.002914507,0.0002245593],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2497063,0.00005904614,0.7301901,0.00001335484,0.0001154423,0.01258588,0.0000115743,0.0003276788,0.006990615],"genre_scores_gemma":[0.9892152,0.00001581319,0.003484537,0.000008581081,0.00008524339,0.007060965,0.000034942,0.00002910994,0.00006560449],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7395089,"threshold_uncertainty_score":0.6704214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005882493184886254,"score_gpt":0.2365693963863262,"score_spread":0.2306869032014399,"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."}}