{"id":"W2769499571","doi":"10.1109/vtcspring.2017.8108691","title":"Uplink Vs. Downlink NOMA in Cellular Networks: Challenges and Research Directions","year":2017,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":97,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Manitoba","funders":"","keywords":"Telecommunications link; Noma; Computer science; Computer network; Cellular network; Spectral efficiency; Wireless; Electronic engineering; Telecommunications; Engineering; Channel (broadcasting)","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":[0.0002745845,0.00008274202,0.0001185476,0.0001547411,0.0002566646,0.00005458886,0.0004974657,0.0001258748,0.000009920742],"category_scores_gemma":[0.0001261656,0.00008221769,0.00001327779,0.00007229059,0.000195734,0.0002004593,0.0003332359,0.0004615328,0.00001519891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004284791,"about_ca_system_score_gemma":0.000003732119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003449985,"about_ca_topic_score_gemma":0.0004184651,"domain_scores_codex":[0.9994057,0.00002203921,0.0001239931,0.0001442505,0.00007201247,0.0002320493],"domain_scores_gemma":[0.99871,0.0001347362,0.00001495886,0.001072973,0.00003662236,0.00003072873],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000006123908,0.00003897502,0.001219012,0.00005483984,0.00002137341,0.000009101877,0.0003492335,0.02473114,0.001192927,0.0386657,0.0002844193,0.9334272],"study_design_scores_gemma":[0.0009129712,0.00008962996,0.08282448,0.0002153642,0.000004685255,0.000007048774,0.001750172,0.8032012,0.01835043,0.02274257,0.06917426,0.0007271894],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3756322,0.2778586,0.09677604,0.0199028,0.001050144,0.001389945,0.000004473126,0.006975306,0.2204104],"genre_scores_gemma":[0.89301,0.1031819,0.0035548,0.000002810099,0.000025828,0.00005823904,0.000001141872,0.00001683075,0.0001483791],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9327,"threshold_uncertainty_score":0.335274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07417771606720718,"score_gpt":0.3230357939016779,"score_spread":0.2488580778344707,"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."}}