{"id":"W3191416202","doi":"","title":"Evolution of NOMA Toward Next Generation Multiple Access (NGMA).","year":2021,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; University of Manitoba","funders":"","keywords":"Noma; Computer science; Wireless; Telecommunications link; Flexibility (engineering); Computer network; Wireless network; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00005922244,0.0002304665,0.0003013612,0.0002644926,0.00005915998,0.0000525188,0.001069722,0.0003744132,0.00003338771],"category_scores_gemma":[0.00007460551,0.0003132711,0.0001299127,0.0004612817,0.0001036396,0.0006695557,0.001261817,0.0004939797,0.000008498115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004919582,"about_ca_system_score_gemma":0.00007193108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001168913,"about_ca_topic_score_gemma":0.0001501915,"domain_scores_codex":[0.9990811,0.00004909504,0.0002336895,0.000393673,0.00005973824,0.0001827468],"domain_scores_gemma":[0.9983628,0.00006032743,0.000161484,0.001184146,0.0001889772,0.00004223676],"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":[0.000005442478,0.00002855745,0.002663161,0.0001535068,0.00005799781,0.00001074336,0.00007040327,0.9833001,0.007944087,0.004766873,0.00006208034,0.0009370615],"study_design_scores_gemma":[0.0002545761,0.000009816031,0.001821436,0.00009050648,0.0000334,0.000001020488,0.0004855864,0.9708106,0.0236064,0.002450107,0.0001149662,0.0003215728],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5325153,0.0005929201,0.4657196,0.0000129014,0.0002533157,0.0001378167,0.00001366476,0.0004600963,0.0002943943],"genre_scores_gemma":[0.9950916,0.002113012,0.002554285,0.000003786636,0.00003734666,0.000003560404,0.0001110527,0.00003364577,0.00005175091],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4631653,"threshold_uncertainty_score":0.9999319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1670529164370728,"score_gpt":0.2104950133150214,"score_spread":0.04344209687794864,"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."}}