{"id":"W2063980628","doi":"10.1145/1185373.1185442","title":"Distributed schemes for fair throughput in infrastructure-based IEEE 802.11 mesh networks","year":2006,"lang":"en","type":"article","venue":"","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Throughput; Computer science; Computer network; Maximum throughput scheduling; Interference (communication); Scheme (mathematics); Channel (broadcasting); Handover; Quality of service; Wireless; Telecommunications; Mathematics","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":[0.0002570715,0.0002395646,0.0002882499,0.00006972477,0.0001160663,0.000240974,0.0008042798,0.0001828928,0.00002644292],"category_scores_gemma":[0.00001138346,0.0002005911,0.0001169165,0.0006322975,0.00005115291,0.0003531397,0.00009464122,0.0001677974,0.000003474644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006879903,"about_ca_system_score_gemma":0.0001008335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002133168,"about_ca_topic_score_gemma":0.0005257246,"domain_scores_codex":[0.9982752,0.00005278734,0.0003944688,0.0004928005,0.0002020411,0.000582656],"domain_scores_gemma":[0.9989817,0.0002119162,0.0001143188,0.0005329076,0.00008668385,0.00007251632],"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":[0.00007192022,0.0001939551,0.04636214,0.00005965367,0.00001815392,0.00001885423,0.00003066568,0.5174687,0.0001019533,0.2506218,0.1486148,0.0364374],"study_design_scores_gemma":[0.001360068,0.00007592196,0.00911499,0.00004717769,0.000003052348,0.000001756219,0.000002923263,0.9418983,0.001318648,0.009332734,0.03652601,0.0003183771],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003477599,0.00003456695,0.9912887,0.0005637936,0.0002800154,0.003723661,0.00001256423,0.0002441533,0.0003749576],"genre_scores_gemma":[0.9143771,0.000001668571,0.081717,0.0006413849,0.0004165576,0.002653638,0.00006917404,0.00001909519,0.0001044174],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9108995,"threshold_uncertainty_score":0.8179868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01005350308193059,"score_gpt":0.2467062533400686,"score_spread":0.236652750258138,"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."}}