{"id":"W2772656689","doi":"10.1109/tsp.2018.2847626","title":"Low-Latency Multiuser Two-Way Wireless Relaying for Spectral and Energy Efficiencies","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Signal Processing","topic":"Full-Duplex Wireless Communications","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Division of Electrical, Communications and Cyber Systems; Queen's University; National Natural Science Foundation of China; Queen's University Belfast; Royal Academy of Engineering; National Science Foundation","keywords":"Computer science; Quality of service; Computer network; Spectral efficiency; Wireless; Latency (audio); Bandwidth (computing); Relay; Telecommunications; Channel (broadcasting); Power (physics)","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":[0.0005488809,0.0008047271,0.0005149976,0.0003086572,0.0003831224,0.001220474,0.0007845007,0.0007648739,0.002068224],"category_scores_gemma":[0.001575419,0.0002251562,0.0003660608,0.0005473953,0.0005098848,0.001570377,0.0007451113,0.0006231866,0.0004902979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007053545,"about_ca_system_score_gemma":0.0004961005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004760317,"about_ca_topic_score_gemma":0.000914794,"domain_scores_codex":[0.9996332,0.0001433216,0.00001225018,0.00004685382,0.0001160916,0.00004822908],"domain_scores_gemma":[0.9994346,0.0003771797,0.00005357399,0.00005952407,0.00005940679,0.00001554113],"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":[0.0001170095,0.0000994185,0.0002766333,0.0002958621,0.00003720685,0.0002497458,0.0001306139,0.6668892,0.03228574,0.2224247,0.001305582,0.07588822],"study_design_scores_gemma":[0.00001148329,0.00009246246,0.00009565781,0.00001964169,0.00001377403,0.0001322318,0.00002677446,0.9587922,0.0054685,0.03141366,0.00391938,0.00001428039],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01855266,0.001630894,0.9706965,0.0002443085,0.00004192772,0.00002989118,0.00002427174,0.0001314705,0.008647919],"genre_scores_gemma":[0.8518206,0.001791948,0.1387627,0.00009359968,0.00005733574,0.00007794664,0.00003086566,0.00005616331,0.007308854],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002068224,"threshold_uncertainty_score":0.006918907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01657029771633738,"score_gpt":0.2406063897328354,"score_spread":0.224036092016498,"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."}}