{"id":"W2894225705","doi":"10.1109/csndsp.2018.8471824","title":"Fairness-Aware Pattern-Based Multiple Access for Multi-Group Multicast Systems","year":2018,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Multicast; Computer science; Computer network; Source-specific multicast; Xcast; Pragmatic General Multicast; Resource allocation; Throughput; Protocol Independent Multicast; Orthogonal frequency-division multiple access; Distributed computing; Scheme (mathematics); Channel (broadcasting); Orthogonal frequency-division multiplexing; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007947243,0.0002196315,0.0002301795,0.0001357822,0.0001362146,0.00009618545,0.0008908568,0.0001539705,0.00002868962],"category_scores_gemma":[0.0001115586,0.0002053341,0.00006193895,0.0001890209,0.0001392253,0.0002818739,0.0001454098,0.000135712,0.00005821278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008747137,"about_ca_system_score_gemma":0.000007855115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006420993,"about_ca_topic_score_gemma":0.0002829315,"domain_scores_codex":[0.998997,0.0000168049,0.0003026317,0.0002387546,0.0001077745,0.0003370146],"domain_scores_gemma":[0.9985711,0.0002646594,0.00005505362,0.0008966557,0.0001569818,0.0000555685],"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":[0.00009458803,0.0006556907,0.04801693,0.002114639,0.000295133,0.000007709632,0.0004473981,0.5337937,0.02963385,0.00352285,0.006860105,0.3745574],"study_design_scores_gemma":[0.001036067,0.00003702334,0.0009933034,0.00005701792,0.000004672598,7.847714e-7,0.000284425,0.9613443,0.02962029,0.00001645489,0.006327631,0.0002780326],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01157338,0.0001347044,0.9835492,0.00008073507,0.0003842071,0.0007274136,0.00006258988,0.003333834,0.0001539824],"genre_scores_gemma":[0.9628903,0.00001732355,0.03613574,0.00005652974,0.0000536755,0.000661906,0.00004806458,0.00007578069,0.00006067244],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.951317,"threshold_uncertainty_score":0.8373283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08108513712898635,"score_gpt":0.3250422618964566,"score_spread":0.2439571247674702,"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."}}