{"id":"W2135489613","doi":"10.1109/icost.2011.6085832","title":"Performance evaluation of backoff algorithms for medium access in wireless networks","year":2011,"lang":"en","type":"article","venue":"","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Computer network; Throughput; Node (physics); Algorithm; Exponential backoff; Network packet; IEEE 802.11; Wireless; Distributed coordination function; Wireless network; Real-time computing; Telecommunications; Engineering","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":[0.001766358,0.0001101293,0.0001864779,0.00008459888,0.00004195093,0.00004557823,0.001018298,0.00008873657,0.0000677411],"category_scores_gemma":[0.00001061828,0.00009214572,0.00004396581,0.0004097512,0.00003106811,0.0007874434,0.0001882427,0.00008513103,0.000002326639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003101949,"about_ca_system_score_gemma":0.0001144326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006931355,"about_ca_topic_score_gemma":0.00006944967,"domain_scores_codex":[0.9987025,0.00007919034,0.0003299404,0.0002736248,0.0003415044,0.0002732019],"domain_scores_gemma":[0.9990767,0.00007864323,0.0001350804,0.0003760709,0.000282252,0.00005122865],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005210466,0.0001521915,0.02206048,0.00005791517,0.00001567632,6.627697e-7,0.0005431722,0.01511624,0.00002192001,0.007915229,0.0008563817,0.953208],"study_design_scores_gemma":[0.0007362198,0.0001076156,0.04637362,0.00005960116,0.000005159482,8.374976e-7,0.000006383135,0.9492544,0.00230154,0.0009580359,0.00007682133,0.0001197483],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06664345,0.00003981185,0.9204315,0.00007815455,0.0004348009,0.006252315,8.15861e-7,0.00005411663,0.006065018],"genre_scores_gemma":[0.9785114,0.00001967247,0.01775723,0.00007298388,0.0001053719,0.003479921,0.000002781778,0.000008308484,0.00004232477],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9530883,"threshold_uncertainty_score":0.3757593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1314516795610369,"score_gpt":0.34247779486726,"score_spread":0.2110261153062232,"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."}}