{"id":"W2135489613","doi":"10.1109/icost.2011.6085832","title":"Performance evaluation of backoff algorithms for medium access in wireless networks","year":2011,"lang":"en","type":"article","venue":"","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Computer network; Throughput; Node (physics); Algorithm; Exponential backoff; Network packet; IEEE 802.11; Wireless; Distributed coordination function; Wireless network; Real-time computing; Telecommunications; Engineering","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":[0.007117118,0.001401868,0.001201304,0.001563946,0.0009706393,0.001851065,0.001494342,0.00138173,0.0006718142],"category_scores_gemma":[0.02936929,0.0002981673,0.0003605167,0.001198903,0.0008788744,0.00216754,0.0009195821,0.0008319336,0.0001501774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002039218,"about_ca_system_score_gemma":0.001043873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002321697,"about_ca_topic_score_gemma":0.001264588,"domain_scores_codex":[0.9940691,0.00257626,0.0002821095,0.0003279049,0.002187484,0.0005572043],"domain_scores_gemma":[0.9758858,0.01929323,0.000981782,0.0008593078,0.002494938,0.0004850087],"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":[0.003063746,0.0007454598,0.006889273,0.0002914065,0.0001933403,0.0001100456,0.0001897636,0.8047014,0.007557796,0.01432324,0.001160164,0.1607744],"study_design_scores_gemma":[0.00004584356,0.0005175728,0.000608929,0.00001329057,0.00002096721,0.00004546191,0.00003427308,0.9953329,0.001918634,0.001236376,0.0002131486,0.00001269737],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6762403,0.007349592,0.305133,0.0004513613,0.0003639467,0.0004420781,0.0001275051,0.001041834,0.008850493],"genre_scores_gemma":[0.9601339,0.000888122,0.03809508,0.00004418816,0.00005552055,0.0000696468,0.00009089461,0.00005808097,0.0005646397],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007117118,"threshold_uncertainty_score":0.03763938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1314516795610369,"score_gpt":0.34247779486726,"score_spread":0.2110261153062232,"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."}}