{"id":"W3047664704","doi":"10.1109/newcas49341.2020.9159826","title":"An Adaptive Spatial Blocker Cancellation Receiver for Multiple Antenna Systems","year":2020,"lang":"en","type":"article","venue":"","topic":"Full-Duplex Wireless Communications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Beamforming; Computer science; Adaptive beamformer; Antenna (radio); Dynamic range; Electronic engineering; Smart antenna; Scalability; Signal processing; Single antenna interference cancellation; SIGNAL (programming language); Antenna array; Directional antenna; Telecommunications; Digital signal processing; Engineering; Computer hardware; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003293922,0.0004524176,0.0004540427,0.0002955483,0.000384798,0.0005749755,0.0009419494,0.0008132856,0.002152723],"category_scores_gemma":[0.0006742862,0.0002570839,0.0003481351,0.0002815572,0.0002018446,0.0005629038,0.0005568025,0.000759612,0.001843272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002830561,"about_ca_system_score_gemma":0.000594869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003482651,"about_ca_topic_score_gemma":0.0009859486,"domain_scores_codex":[0.9996036,0.00006577226,0.00001892002,0.0000630733,0.0002105965,0.0000380705],"domain_scores_gemma":[0.9997255,0.00007305558,0.00004048739,0.00003359811,0.0001090593,0.00001826834],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003633695,0.00006690534,0.0008266136,0.0001901268,0.00007158821,0.000249441,0.00009829149,0.0108737,0.7676005,0.008712028,0.002653524,0.2082939],"study_design_scores_gemma":[0.0001333035,0.001268622,0.001646188,0.00007292339,0.0002014597,0.002253595,0.00004195233,0.4738492,0.4719577,0.003310493,0.04516436,0.0001002128],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01503682,0.0005455649,0.9798557,0.0001909946,0.0001256618,0.00003292818,0.00004335205,0.0009765265,0.003192425],"genre_scores_gemma":[0.4577248,0.0009755917,0.5238055,0.0009947419,0.0004751042,0.0001118104,0.00026261,0.0001192032,0.01553052],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002152723,"threshold_uncertainty_score":0.007201552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03441386380040568,"score_gpt":0.2296258042985852,"score_spread":0.1952119404981796,"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."}}