{"id":"W2144431033","doi":"10.1109/tmc.2013.2296502","title":"Maximum Stable Throughput of Network-Coded Multiple Broadcast Sessions for WirelessTandem Random Access Networks","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Mobile Computing","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of New Brunswick","funders":"Iran Telecommunication Research Center","keywords":"Computer science; Linear network coding; Computer network; Network packet; Random access; Aloha; Throughput; Distributed computing; Wireless network; 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":[0.0026591,0.0006173404,0.0006488715,0.001094589,0.0005872015,0.000990876,0.0009125777,0.0005959592,0.000853053],"category_scores_gemma":[0.01133758,0.000296862,0.0004071847,0.001188749,0.00156461,0.001931626,0.0007691266,0.0006145294,0.0001403971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002543479,"about_ca_system_score_gemma":0.0009849605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00155824,"about_ca_topic_score_gemma":0.001308262,"domain_scores_codex":[0.9990331,0.0003874584,0.0000268386,0.0000938517,0.0002993835,0.000159474],"domain_scores_gemma":[0.9943228,0.004424546,0.0003974799,0.0001998601,0.0005640602,0.00009129761],"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":[0.0001749666,0.00004061396,0.001134527,0.00009585598,0.0000339253,0.0001626982,0.0002213026,0.889639,0.008040709,0.08632609,0.0004023582,0.01372801],"study_design_scores_gemma":[0.000002456351,0.00002470488,0.0001046264,0.000003822696,0.000004557214,0.00001935522,0.00001735997,0.9894478,0.0009738978,0.009296845,0.0001005824,0.000004010948],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1502451,0.0005815445,0.8457588,0.0002422179,0.00002773383,0.0000566291,0.00005156005,0.0002540599,0.002782392],"genre_scores_gemma":[0.980746,0.0003107111,0.01806819,0.00002740294,0.00002246512,0.00006501527,0.0000303714,0.00003378794,0.0006961245],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0026591,"threshold_uncertainty_score":0.01845431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03701657566618761,"score_gpt":0.3012260340177361,"score_spread":0.2642094583515485,"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."}}