{"id":"W2120869623","doi":"10.1109/tmc.2009.39","title":"Analysis of Enhanced Collision Avoidance Scheme Proposed for IEEE 802.11e-Enhanced Distributed Channel Access Protocol","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Mobile Computing","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Throughput; Computer network; Channel (broadcasting); Network packet; Protocol (science); Queue; Collision avoidance; Scheme (mathematics); Markov chain; Capture effect; Markov process; Collision; Real-time computing; Wireless; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005530575,0.0003951012,0.000776398,0.0004406752,0.0005760293,0.0002752481,0.00138997,0.0001949622,0.00001159398],"category_scores_gemma":[0.00001207685,0.0003764627,0.0004851038,0.003349001,0.00006761629,0.0005960406,0.00001150454,0.0003518657,0.000003758244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001320756,"about_ca_system_score_gemma":0.0001420649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000012227,"about_ca_topic_score_gemma":0.00001459848,"domain_scores_codex":[0.9968746,0.0001489392,0.0009132921,0.0009372419,0.0004890931,0.0006367976],"domain_scores_gemma":[0.9974512,0.0003814212,0.0005914713,0.0009044421,0.000507423,0.0001639858],"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":[0.0002037002,0.0005904935,0.000003816471,0.000103262,0.0001838528,0.000001316115,0.000301354,0.8974386,0.03163808,0.00005924001,0.00005271392,0.06942352],"study_design_scores_gemma":[0.001114763,0.0007681001,0.0001175257,0.0001988007,0.00005961939,6.453912e-7,0.00001228797,0.5881158,0.4091327,0.000111786,0.00008704967,0.0002809112],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0131089,0.000004472713,0.8827073,0.00006338195,0.0002660297,0.1034674,0.00005655506,0.0002842995,0.00004162795],"genre_scores_gemma":[0.8951593,0.000002008945,0.0175929,0.0001014926,0.00008995472,0.08698473,0.00001156769,0.00002083924,0.00003720913],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8820504,"threshold_uncertainty_score":0.9998688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02507329857239328,"score_gpt":0.3333150148199676,"score_spread":0.3082417162475743,"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."}}