{"id":"W2123429850","doi":"10.1109/glocom.2012.6503927","title":"Acknowledgement-aware MPR MAC protocol for distributed WLANs: Design and analysis","year":2012,"lang":"en","type":"article","venue":"","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer network; Computer science; Distributed coordination function; Asynchronous communication; Throughput; Telecommunications link; Acknowledgement; Network packet; Local area network; Channel (broadcasting); Network allocation vector; Access control; Wireless; IEEE 802.11; 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":[0.002233581,0.001115293,0.0007422715,0.0009846517,0.0005068965,0.001429766,0.001710693,0.0009165402,0.001492483],"category_scores_gemma":[0.004019692,0.0005947721,0.000615826,0.0007952391,0.0008164498,0.001370771,0.0007892626,0.001308474,0.0006560142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001487404,"about_ca_system_score_gemma":0.001589375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00182813,"about_ca_topic_score_gemma":0.00145839,"domain_scores_codex":[0.9987547,0.0003133457,0.00006397407,0.0001326617,0.0006521642,0.0000830921],"domain_scores_gemma":[0.9985853,0.0005158694,0.0002323144,0.0001370204,0.0004923394,0.00003705161],"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":[0.0001012984,0.0001853684,0.001484782,0.0005142089,0.0001274359,0.000557301,0.0003546079,0.6768748,0.03111386,0.1597219,0.004286783,0.1246776],"study_design_scores_gemma":[0.000008028909,0.00007486454,0.0001207002,0.00001631975,0.00001968758,0.0001227451,0.00001513747,0.9912259,0.001868786,0.004437157,0.002077538,0.00001321527],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006799091,0.001556005,0.9886748,0.0002005842,0.00004900534,0.000149756,0.00002527014,0.0002298856,0.002315639],"genre_scores_gemma":[0.5386275,0.00702309,0.4452086,0.0002900681,0.0003104862,0.001433251,0.0002001868,0.0001855873,0.006721199],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002233581,"threshold_uncertainty_score":0.01181245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05727168607006016,"score_gpt":0.3408666360145238,"score_spread":0.2835949499444637,"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."}}