{"id":"W1976451251","doi":"10.1109/twc.2008.060530","title":"Service Time Approximation in IEEE 802.11 Single-Hop Ad Hoc Networks","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Wireless ad hoc network; Queueing theory; Network packet; Poisson distribution; Computer network; IEEE 802.11; Bounded function; Upper and lower bounds; Service set; Probability distribution; Queue management system; Wireless network; Wireless; Mathematics; Statistics; Telecommunications; Wi-Fi","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":[0.003181677,0.000747016,0.000827667,0.001175144,0.0008274268,0.001058523,0.002046721,0.001150209,0.0007324478],"category_scores_gemma":[0.01799143,0.0006069124,0.0006192296,0.001511978,0.001958538,0.002801688,0.0009518258,0.001510852,0.000305053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002864474,"about_ca_system_score_gemma":0.001501523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01240408,"about_ca_topic_score_gemma":0.0030946,"domain_scores_codex":[0.9984499,0.0004371405,0.00006692026,0.0001752929,0.0006678727,0.0002028668],"domain_scores_gemma":[0.9939132,0.004479554,0.0005385483,0.0003814226,0.0005629776,0.0001242092],"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":[0.00009161406,0.00003285499,0.001201331,0.00006164283,0.00002424051,0.0001749208,0.0001909856,0.9307871,0.001166073,0.05651113,0.0004597324,0.009298319],"study_design_scores_gemma":[0.000002867778,0.000007567343,0.00006695455,0.000003127903,0.000002456461,0.00001847161,0.00001117261,0.9916176,0.0001326428,0.008016429,0.000117668,0.000003098862],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06189675,0.001413368,0.9328238,0.0004321881,0.0001175263,0.00003763352,0.00004792546,0.0004957684,0.002735062],"genre_scores_gemma":[0.9470915,0.001503281,0.04855161,0.0001877558,0.0001750981,0.00008772554,0.0000814891,0.0001040072,0.002217527],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01240408,"threshold_uncertainty_score":0.02466375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04356750291336672,"score_gpt":0.260827211717241,"score_spread":0.2172597088038743,"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."}}