{"id":"W2159141994","doi":"10.1109/tmc.2007.49","title":"Distributed and Energy-Aware MAC for Differentiated Services Wireless Packet Networks: A General Queuing Analytical Framework","year":2007,"lang":"en","type":"article","venue":"IEEE Transactions on Mobile Computing","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Computer science; Computer network; Network packet; Queueing theory; Node (physics); Queue management system; Queue; Markovian arrival process; Wireless network; Real-time computing; Wireless","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":[0.001749931,0.00119427,0.0009515365,0.0009760727,0.0005439913,0.001240852,0.002255133,0.0008814923,0.0009511636],"category_scores_gemma":[0.002305536,0.0004909736,0.001175194,0.0009713993,0.0009462905,0.001610689,0.001164393,0.00103465,0.0002649823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002363287,"about_ca_system_score_gemma":0.002068021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005934269,"about_ca_topic_score_gemma":0.004018459,"domain_scores_codex":[0.9990476,0.0002896212,0.00004758039,0.0001408382,0.0003700433,0.0001043078],"domain_scores_gemma":[0.999316,0.0002793652,0.0000732302,0.00007076174,0.0002257829,0.00003488551],"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":[0.0000333865,0.0001150899,0.0003973682,0.0001614556,0.00005394239,0.0001202906,0.0001608899,0.7222959,0.008992615,0.2390027,0.001539299,0.02712698],"study_design_scores_gemma":[0.000002692159,0.0000155982,0.0000422005,0.000005228057,0.00000655826,0.00001188262,0.000005660744,0.9902042,0.0002533013,0.008581618,0.0008645477,0.000006457513],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003504446,0.0004354701,0.9942649,0.0001146006,0.00004132879,0.00004492894,0.00003881329,0.0001305405,0.001425097],"genre_scores_gemma":[0.4830372,0.002703707,0.5061221,0.0003624938,0.0004554942,0.0004559966,0.00015864,0.0001737615,0.006530601],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005934269,"threshold_uncertainty_score":0.01714689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01135874275959074,"score_gpt":0.2730519226330465,"score_spread":0.2616931798734557,"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."}}