{"id":"W2757504301","doi":"10.1109/tvt.2017.2754489","title":"Self-Interference Cancellation With Nonlinearity and Phase-Noise Suppression in Full-Duplex Systems","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Full-Duplex Wireless Communications","field":"Engineering","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Baseband; Phase noise; Electronic engineering; Single antenna interference cancellation; Transmitter; Multiplexing; Control theory (sociology); Adjacent-channel interference; Amplifier; Algorithm; Computer science; Engineering; Channel (broadcasting); Interference (communication); 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":[0.00008697729,0.0002059551,0.0002536948,0.0003438255,0.0003400672,0.00007844187,0.0004349413,0.0003007172,0.000008803644],"category_scores_gemma":[0.000006572912,0.0001981655,0.00002826358,0.0001946137,0.0001771622,0.0002053007,0.000006176887,0.000623018,0.00001194785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001318593,"about_ca_system_score_gemma":0.00002717655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001461512,"about_ca_topic_score_gemma":0.001100456,"domain_scores_codex":[0.9990828,0.00003232059,0.0002474427,0.0002734122,0.0001145774,0.0002494387],"domain_scores_gemma":[0.9986545,0.00004140681,0.00007446494,0.001111937,0.00006343148,0.0000542821],"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":[0.00005221688,0.0002339508,0.0002685351,0.000114999,0.00006068217,0.00001746701,0.0001461621,0.9365906,0.05327027,0.0001476269,0.00001091034,0.009086641],"study_design_scores_gemma":[0.001270397,0.0001559993,0.0002850693,0.0001951067,0.0000300365,0.00005357019,0.00009612022,0.9616755,0.03538866,0.000004222905,0.0006231491,0.000222199],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8748309,0.0002841477,0.1232275,0.0003793824,0.000201894,0.0003712083,0.00002998812,0.0006152053,0.0000597843],"genre_scores_gemma":[0.9964471,0.0004875175,0.002800327,0.000004106284,0.00001196591,0.0001806062,0.000005805398,0.00003554625,0.00002705904],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1216162,"threshold_uncertainty_score":0.8080955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01280183436427589,"score_gpt":0.2487786079110554,"score_spread":0.2359767735467795,"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."}}