{"id":"W2949282172","doi":"10.82308/20057","title":"Resource allocation for uplink non-orthogonal multiple access in virtualized wireless networks","year":2018,"lang":"en","type":"article","venue":"eScholarship@McGill (McGill)","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"McGill University","keywords":"Computer network; Computer science; Telecommunications link; Wireless network; Service provider; Radio resource management; Base station; Resource allocation; Quality of service; Wireless; Telecommunications; Service (business); Business","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008922219,0.0004395954,0.0005553619,0.0003553756,0.0006320881,0.001243446,0.000806959,0.0004088026,0.001247578],"category_scores_gemma":[0.002771231,0.0002451401,0.0002447048,0.0006595445,0.000848717,0.001002337,0.0009170072,0.000598026,0.0002687207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007873507,"about_ca_system_score_gemma":0.001091362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002461145,"about_ca_topic_score_gemma":0.003407684,"domain_scores_codex":[0.9990711,0.0004350212,0.00002923374,0.000107587,0.0001680432,0.0001889959],"domain_scores_gemma":[0.9989921,0.0005792293,0.0001286357,0.00009297804,0.0001544114,0.00005253444],"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":[0.0001698123,0.0001104097,0.0007805828,0.000167971,0.00005847042,0.0002279732,0.0001483665,0.7542968,0.008845984,0.1235426,0.003315737,0.1083353],"study_design_scores_gemma":[0.000005991697,0.00003068189,0.00008751742,0.000007800602,0.000005496157,0.00004368872,0.0000324107,0.9845877,0.0006423893,0.01329305,0.001255717,0.000007703043],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03402473,0.002143704,0.9562016,0.0003204063,0.0001531957,0.00005796364,0.00003984832,0.0001813475,0.006877225],"genre_scores_gemma":[0.9391906,0.001158305,0.05685686,0.0001176399,0.00009410148,0.00008705746,0.00003621585,0.00002656328,0.002432761],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002461145,"threshold_uncertainty_score":0.005712628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02195143436054713,"score_gpt":0.2600016209373145,"score_spread":0.2380501865767674,"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."}}