{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010978,0.00007833983,0.00008291642,0.00005142989,0.00004613433,0.00001049692,0.00004491856,0.00007220211,0.00002339048],"category_scores_gemma":[0.000006292379,0.00008550622,0.00001735402,0.000147584,0.000005064112,0.00009209332,0.000006418181,0.00004711411,0.00001748776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002443349,"about_ca_system_score_gemma":0.00000481844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001112266,"about_ca_topic_score_gemma":0.00003833602,"domain_scores_codex":[0.9995016,0.000004639604,0.0001649271,0.0001355146,0.00004118992,0.0001520603],"domain_scores_gemma":[0.9997372,0.00006208862,0.00001572875,0.0001038765,0.00003867467,0.00004244794],"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":[0.000003233291,0.00001349964,0.00005055787,0.00001048202,0.000004042305,2.405244e-8,0.000165799,0.9562101,0.00003873465,0.001664704,0.00006119001,0.04177763],"study_design_scores_gemma":[0.0003230401,0.000009339391,0.0008938249,0.000005200364,0.00000673659,3.105506e-7,0.00002691365,0.994956,0.00008359148,0.0006658836,0.00292851,0.0001007129],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.101925,0.0002281824,0.8952245,0.00001535643,0.00004874774,0.0006769747,0.000006234823,0.000309476,0.001565557],"genre_scores_gemma":[0.9822015,0.00001962427,0.01732414,0.00002917647,0.00006223877,0.0001896756,0.00003857102,0.00002251741,0.000112582],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8802765,"threshold_uncertainty_score":0.3486843,"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."}}