{"id":"W2144555227","doi":"10.1109/tvt.2007.895469","title":"Transfer Delay Analysis of WAP 2.0 for Short-Lived Flows","year":2007,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Markov chain; Network packet; File transfer; Transfer (computing); Computer science; Markov process; Wireless Application Protocol; Wireless; Algorithm; Protocol (science); Computer network; Real-time computing; Wireless network; Mathematics; Statistics; Telecommunications; Parallel computing","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":[0.001103388,0.00050065,0.0003111618,0.0008718685,0.0003692743,0.0005943108,0.0006029279,0.0004191747,0.0009175359],"category_scores_gemma":[0.004976359,0.0002359897,0.000299221,0.0004217713,0.0006275701,0.001133591,0.0004709002,0.0006643166,0.0001743642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001744925,"about_ca_system_score_gemma":0.0009591157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005058263,"about_ca_topic_score_gemma":0.001582397,"domain_scores_codex":[0.9995902,0.00007458221,0.0000156927,0.00006772743,0.0001490885,0.0001026786],"domain_scores_gemma":[0.9979495,0.00126491,0.0002687304,0.00014529,0.000322753,0.0000487757],"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":[0.000180879,0.00005445022,0.002693151,0.00006713127,0.00002803076,0.0003029648,0.0001880227,0.9237597,0.02226757,0.03673435,0.0007896713,0.01293418],"study_design_scores_gemma":[0.00000254385,0.00002043501,0.0002414564,0.000004005704,0.000003546841,0.00003703436,0.00001538217,0.9955359,0.002029695,0.001924918,0.0001791291,0.000006019752],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6047192,0.0011032,0.387805,0.0003585392,0.00009059496,0.0001004588,0.0001603221,0.0005525643,0.005110136],"genre_scores_gemma":[0.9911144,0.0003014467,0.007361094,0.00003221155,0.00001461236,0.00003653986,0.00004825617,0.00003777127,0.001053689],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005058263,"threshold_uncertainty_score":0.01266038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0139636967826143,"score_gpt":0.2494332767775853,"score_spread":0.235469579994971,"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."}}