{"id":"W2109678631","doi":"10.1109/aps.2010.5561822","title":"Experimental verification of an adaptive UWB beamformer based on multidimensional filtering in a real radio channel","year":2010,"lang":"en","type":"article","venue":"","topic":"Ultra-Wideband Communications Technology","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Beamforming; Computer science; Multipath propagation; Wideband; Interference (communication); Channel (broadcasting); Adaptive beamformer; Electronic engineering; WSDMA; Antenna array; Antenna (radio); Precoding; Telecommunications; MIMO; Engineering","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":[0.00007773262,0.00009639562,0.0001090127,0.0001813519,0.00002560031,0.000003256975,0.0001752571,0.0001033626,0.0000787477],"category_scores_gemma":[0.00001032422,0.00009816453,0.00002418542,0.0001275453,0.00004843967,0.0001013036,0.00001708561,0.0002136036,0.000007932511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004433145,"about_ca_system_score_gemma":0.00001222047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000118513,"about_ca_topic_score_gemma":0.000109792,"domain_scores_codex":[0.9994832,0.00001364186,0.0001775032,0.0001200812,0.00008093155,0.0001246761],"domain_scores_gemma":[0.999412,0.00004526188,0.00002369994,0.0004698824,0.00001829505,0.00003085093],"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":[0.00003857897,0.0001720902,0.00005976222,0.000003067777,0.000005450716,4.277303e-7,0.0002699962,0.01354147,0.9829957,0.001930896,0.00001234591,0.0009701521],"study_design_scores_gemma":[0.0003704493,0.0001183996,0.003331044,0.000009898362,0.000001340797,0.000002128349,0.0002718232,0.3695594,0.6261098,0.00002316008,0.0001059551,0.00009660363],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916275,0.00001205541,0.003969617,0.0000356131,0.00008481486,0.0001449293,0.000005645004,0.0002054532,0.003914339],"genre_scores_gemma":[0.9615389,0.000003769896,0.03830657,0.00001088785,0.000009040704,0.00007454026,0.00002600986,0.00001750327,0.00001276047],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3568859,"threshold_uncertainty_score":0.4003033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01496382293928854,"score_gpt":0.2415699687424114,"score_spread":0.2266061458031229,"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."}}