{"id":"W2135534468","doi":"10.1145/1132905.1132926","title":"Interaction of rate and medium access control in wireless networks","year":2006,"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 Toronto","funders":"","keywords":"Throughput; Computer science; Computer network; Fairness measure; IEEE 802.11; Access control; Wireless; Wireless network; Wireless lan; Flow control (data); Service set; Inter-Access Point Protocol; Wi-Fi; 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":[0.0003039575,0.00007881018,0.0001630945,0.0000635488,0.00002294949,0.000121406,0.0003255614,0.00005380519,0.00001172513],"category_scores_gemma":[0.000002864977,0.0000645964,0.00001989707,0.0002336032,0.00002682135,0.0005613029,0.0001066508,0.0001006644,8.240584e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001113381,"about_ca_system_score_gemma":0.00001624683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005052889,"about_ca_topic_score_gemma":0.0004415719,"domain_scores_codex":[0.9992582,0.00008041539,0.0002387142,0.0001847235,0.00007792389,0.0001600253],"domain_scores_gemma":[0.9995095,0.0001618106,0.00009549722,0.0001669733,0.00003725786,0.00002896653],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003737671,0.0005074862,0.3694091,0.000155606,0.00005035675,0.00006718255,0.0002335982,0.1949107,0.003960324,0.2057296,0.01326686,0.2113353],"study_design_scores_gemma":[0.0008323148,0.00003750192,0.07993851,0.00005086932,0.00000152205,0.000003092797,0.000003247321,0.91568,0.001038205,0.001789812,0.0005275755,0.00009739027],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.051325,0.00004091415,0.944243,0.0006333298,0.000198239,0.001409104,3.475876e-7,0.00004310667,0.002106919],"genre_scores_gemma":[0.9989436,0.00001061059,0.0003909872,0.0002161563,0.00009741128,0.0002770911,8.371911e-7,0.000003812715,0.00005954004],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9476185,"threshold_uncertainty_score":0.2634165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01169281243290527,"score_gpt":0.2691087317204449,"score_spread":0.2574159192875396,"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."}}