{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001154424,0.0005628754,0.0005054657,0.0007936505,0.0005585973,0.0009820374,0.00111616,0.0006018047,0.001984817],"category_scores_gemma":[0.002753594,0.0002828759,0.0005547514,0.0006224509,0.000482575,0.0009983444,0.0004306123,0.0007678725,0.0002253323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00159494,"about_ca_system_score_gemma":0.001093075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004168965,"about_ca_topic_score_gemma":0.002574579,"domain_scores_codex":[0.9989967,0.0002310107,0.00004072742,0.0001056843,0.0004939709,0.0001319765],"domain_scores_gemma":[0.9989765,0.0003915259,0.0001034118,0.00008570225,0.0004226273,0.00002027732],"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":[0.0002375512,0.0001144937,0.002907612,0.0003028452,0.0001242061,0.0003977804,0.0002201475,0.7840835,0.0248996,0.124039,0.002514897,0.06015842],"study_design_scores_gemma":[0.000009172527,0.00004745563,0.0002827921,0.00001036502,0.00001743943,0.00008987975,0.00001324949,0.9925253,0.002056945,0.004006071,0.0009300337,0.00001130454],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05413289,0.002491348,0.9311424,0.0004452153,0.0002593355,0.0002257788,0.0001051105,0.0002517765,0.01094607],"genre_scores_gemma":[0.9230036,0.001514104,0.07164191,0.0001183023,0.0000673235,0.000136027,0.0001257856,0.00003857357,0.003354413],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004168965,"threshold_uncertainty_score":0.01157218,"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."}}