{"id":"W3014454296","doi":"10.1145/1384529.1375459","title":"Performance of random medium access control, an asymptotic approach","year":2008,"lang":"en","type":"article","venue":"ACM SIGMETRICS Performance Evaluation Review","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Aloha; Computer science; Random access; Network packet; Queue; Access control; Simple (philosophy); Computer network; Queueing theory; Exponential backoff; Distributed computing; Throughput; Algorithm; 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":[0.00382319,0.0007809834,0.0008011746,0.001386791,0.0005172645,0.001847646,0.001684144,0.001140536,0.001841633],"category_scores_gemma":[0.02517854,0.0003599994,0.0004403098,0.0008475702,0.001701606,0.003524914,0.001221224,0.001070623,0.0005702844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001899946,"about_ca_system_score_gemma":0.001256311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002120137,"about_ca_topic_score_gemma":0.0008957778,"domain_scores_codex":[0.9967481,0.001170031,0.0001209238,0.0004767967,0.001232382,0.0002516601],"domain_scores_gemma":[0.991928,0.005200878,0.0004641459,0.00103286,0.001282439,0.00009182138],"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":[0.0001332226,0.00009558489,0.002420103,0.0002290407,0.00007827472,0.0001120846,0.000162327,0.6371489,0.004414053,0.3019294,0.0017794,0.05149761],"study_design_scores_gemma":[0.00000720372,0.00007049248,0.0004266738,0.00002439684,0.00001804543,0.00007852906,0.00002398702,0.9499817,0.001353151,0.04661835,0.001380242,0.00001723392],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03795225,0.003462817,0.9264643,0.000873128,0.0001324757,0.00006500641,0.0001019497,0.0006569689,0.03029112],"genre_scores_gemma":[0.9447631,0.002433241,0.04800316,0.0002016515,0.0002562473,0.0001363425,0.0001216185,0.0001195452,0.003965172],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00382319,"threshold_uncertainty_score":0.02021921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1075905417722812,"score_gpt":0.350343125879688,"score_spread":0.2427525841074067,"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."}}