{"id":"W2102818510","doi":"10.1109/icc.2008.53","title":"An Analytical Model for Prioritized Contention Access in ECMA-368 MAC Protocol","year":2008,"lang":"en","type":"article","venue":"","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Superframe; Network packet; Computer network; Queueing theory; Markov process; Correctness; Queue; Algorithm; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003251407,0.0001284443,0.0002151352,0.00009259032,0.00010708,0.0002078453,0.0008691111,0.00009095684,0.00001899028],"category_scores_gemma":[0.00001385668,0.0001068383,0.00007669644,0.0002845247,0.00003585001,0.001106191,0.000124118,0.0001039063,0.000004548773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003675343,"about_ca_system_score_gemma":0.000122191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002680933,"about_ca_topic_score_gemma":0.00006248477,"domain_scores_codex":[0.9986781,0.00005642512,0.0003290657,0.0004072843,0.0001993653,0.0003296912],"domain_scores_gemma":[0.9992395,0.00005123596,0.00006392648,0.0004185982,0.0001084702,0.000118283],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001605466,0.002604738,0.03856798,0.000426248,0.00005245178,0.0001231681,0.001072089,0.1008289,0.0007089416,0.666948,0.009871753,0.1771902],"study_design_scores_gemma":[0.002256519,0.000120914,0.002319706,0.00002409202,0.000001192276,0.000006032044,0.00000191002,0.9864581,0.0001702415,0.007767683,0.0007129453,0.0001606174],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"protocol","genre_scores_codex":[0.00124012,4.768698e-7,0.8050496,0.000289446,0.00002109365,0.1920629,0.000001274827,0.0001113515,0.001223793],"genre_scores_gemma":[0.2250008,5.600862e-7,0.06545053,0.0003974212,0.00008422738,0.7080445,0.000003271612,0.00001223827,0.001006481],"genre_candidate":"protocol","genre_consensus":null,"teacher_disagreement_score":0.8856292,"threshold_uncertainty_score":0.4356739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1441548955127497,"score_gpt":0.4132262487799939,"score_spread":0.2690713532672442,"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."}}