{"id":"W2111035283","doi":"10.1109/vetecf.2008.400","title":"Backoff Strategies in Hiperlan\\2 with Error Control Protocol","year":2008,"lang":"en","type":"article","venue":"","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"HiperLAN; Computer science; Exponential backoff; Markov chain; Throughput; Random access; Channel (broadcasting); Frame (networking); Distributed coordination function; Markov model; Error detection and correction; Computer network; Algorithm; Telecommunications; IEEE 802.11; Wireless; Wireless lan","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":[0.0001455522,0.0001404712,0.0001861313,0.00005705338,0.00008062419,0.0001244934,0.0005269983,0.00005520315,0.00007772232],"category_scores_gemma":[0.000002476828,0.00009158682,0.00002743896,0.0003108369,0.00006016857,0.0006320597,0.00004831787,0.0001426244,0.00004194835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001904886,"about_ca_system_score_gemma":0.0002097631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009170174,"about_ca_topic_score_gemma":0.0001902197,"domain_scores_codex":[0.9989147,0.0000663536,0.0001977061,0.0002958715,0.000211336,0.0003141024],"domain_scores_gemma":[0.999396,0.00005119109,0.00005428811,0.0003796097,0.00004658778,0.00007232928],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001395437,0.001484772,0.1448697,0.0003218726,0.0001035048,0.002195821,0.004492105,0.05417364,0.000632823,0.712231,0.02493619,0.05316314],"study_design_scores_gemma":[0.02943371,0.004020409,0.181397,0.0004464358,0.000006414771,0.0006401194,0.000390604,0.6321164,0.001451944,0.0117077,0.1361216,0.002267522],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"protocol","genre_scores_codex":[0.003047718,0.000003871117,0.5840105,0.0008295471,0.0000349469,0.3686162,7.115149e-7,0.0003057838,0.04315066],"genre_scores_gemma":[0.4527231,1.997308e-7,0.01544536,0.0003432111,0.0000538828,0.5308916,2.763752e-7,0.000008258139,0.0005340838],"genre_candidate":"protocol","genre_consensus":null,"teacher_disagreement_score":0.7005233,"threshold_uncertainty_score":0.3734802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02266024054735717,"score_gpt":0.2733036888167914,"score_spread":0.2506434482694342,"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."}}