{"id":"W2380239942","doi":"","title":"A Backoff Algorithm Suitable for Burst Traffic and Its Application in Adhoc Network Simulation","year":2011,"lang":"en","type":"article","venue":"","topic":"Simulation and Modeling Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"CAE (Canada)","funders":"","keywords":"Computer science; Channel (broadcasting); Network delay; Algorithm; Network simulation; Network performance; Poisson distribution; Exponential backoff; Real-time computing; Discrete event simulation; Computer network; Simulation; Throughput; Network packet; Wireless; Mathematics; Telecommunications","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":[0.0008841299,0.0005381336,0.0006095143,0.000621407,0.0006428711,0.0005642731,0.0009346837,0.0007486998,0.001191055],"category_scores_gemma":[0.001968435,0.0003368889,0.0004296285,0.0005433914,0.0003122021,0.0007661252,0.0004363026,0.0007576001,0.0002468054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003657608,"about_ca_system_score_gemma":0.0006733824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003082354,"about_ca_topic_score_gemma":0.001661342,"domain_scores_codex":[0.9996798,0.0001054244,0.00002865523,0.00003424033,0.0001168352,0.0000351622],"domain_scores_gemma":[0.9993174,0.0003322501,0.00004333087,0.00006897568,0.0001929735,0.00004502471],"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":[0.0001590571,0.0001239778,0.001353977,0.00008897825,0.00005373898,0.0001245015,0.0001324054,0.8940868,0.01106117,0.01590296,0.001632572,0.07527979],"study_design_scores_gemma":[0.000009948435,0.0000198146,0.00005904236,0.000002681978,0.000003588626,0.00001342486,0.00000369389,0.9976508,0.0007311247,0.00087725,0.0006249318,0.000003572305],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01457841,0.0001065032,0.9828782,0.00004908935,0.00005786479,0.0001011138,0.00004003432,0.000875021,0.001313674],"genre_scores_gemma":[0.4040603,0.0003196477,0.5923167,0.0000566453,0.00003666648,0.0005394985,0.0002041231,0.0002001442,0.002266221],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003082354,"threshold_uncertainty_score":0.006128848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03497674671167176,"score_gpt":0.2563694089379474,"score_spread":0.2213926622262756,"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."}}