{"id":"W4220901917","doi":"10.1109/jsac.2021.3139485","title":"Special Issue on Next Generation Multiple Access—Part I","year":2022,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; University of Manitoba","funders":"","keywords":"Computer science; Wireless network; Wireless; Computer network; Radio resource management; Code division multiple access; Next-generation 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":[],"consensus_categories":[],"category_scores_codex":[0.0002796229,0.0002033883,0.0002236945,0.0006054266,0.0009845959,0.0001566837,0.002758664,0.00008489579,0.0004253908],"category_scores_gemma":[0.0002952088,0.0002318152,0.00006085448,0.00135493,0.00007903465,0.0004211535,0.0003439084,0.002226464,0.00006128052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008041544,"about_ca_system_score_gemma":0.00007083321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007410055,"about_ca_topic_score_gemma":0.0002046647,"domain_scores_codex":[0.9982987,0.0003603955,0.0005508871,0.0001631769,0.000337563,0.0002892528],"domain_scores_gemma":[0.997259,0.0004971731,0.000176708,0.001853263,0.0001465347,0.00006738266],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003798974,0.0004571742,0.0006301045,0.000004619082,0.0000503194,0.000007020001,0.0003640754,0.8180801,0.00821565,0.001307787,0.1080816,0.06276353],"study_design_scores_gemma":[0.0008687545,0.0001837401,0.001177426,0.00005914985,0.000009515762,0.00007161346,0.0003816411,0.1751736,0.007481686,0.0007823358,0.8133742,0.0004363565],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7836139,0.005758925,0.01264874,0.03350585,0.01557781,0.003590746,0.0003962251,0.006552909,0.1383549],"genre_scores_gemma":[0.9901689,0.00457526,0.002855718,0.0002861951,0.001552297,0.0002672499,0.00009712318,0.00005954632,0.0001377141],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7052925,"threshold_uncertainty_score":0.9673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09223136267715082,"score_gpt":0.3140766991530618,"score_spread":0.221845336475911,"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."}}