{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003905512,0.0001038997,0.0001252377,0.00002570903,0.00006560001,0.00002930148,0.0001761074,0.0000586516,0.00003767522],"category_scores_gemma":[0.0000276439,0.0001064807,0.00003315569,0.00009912166,0.00001557801,0.000126108,0.00001632905,0.0000837267,0.00003438788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005641668,"about_ca_system_score_gemma":0.00001360847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005761633,"about_ca_topic_score_gemma":0.0007903797,"domain_scores_codex":[0.9994553,0.00002175706,0.0001688432,0.0001350516,0.00007594383,0.0001430456],"domain_scores_gemma":[0.9994417,0.00009181149,0.00002447776,0.0002674157,0.00008350121,0.00009104569],"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":[0.00003617959,0.00001490639,0.0005926541,0.0000428133,0.00003680996,3.697216e-7,0.0008215628,0.9586939,0.03636732,0.0004458639,0.00177385,0.00117383],"study_design_scores_gemma":[0.0003383061,0.00006475284,0.0006723196,0.0000119051,0.000009780259,5.020453e-7,0.0004206186,0.9926687,0.001775394,0.000001427995,0.003896293,0.000140005],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3478819,0.0002909213,0.6484203,0.0004332391,0.0003415982,0.0008728552,0.0001054066,0.0008558194,0.0007979402],"genre_scores_gemma":[0.9919041,0.00002672875,0.007587017,0.00004617863,0.0001732944,0.0001017014,0.00006384438,0.00003645946,0.00006066316],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6440222,"threshold_uncertainty_score":0.4342159,"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."}}