{"id":"W4312811360","doi":"10.1109/tap.2022.3220936","title":"Remarks on Noise Shaping for Phased Array Analog Beamforming","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Antennas and Propagation","topic":"Antenna Design and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Beamforming; Antenna noise temperature; Computer science; Phased array; Electronic engineering; Stopband; Acoustics; Quantization (signal processing); Optics; Physics; Radiation pattern; Antenna (radio); Telecommunications; Antenna efficiency; Engineering; Algorithm; Band-pass filter","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001844494,0.0001394463,0.000125267,0.0002029464,0.0004631452,0.00004356654,0.00005564087,0.00004600904,0.00007458161],"category_scores_gemma":[0.000003737624,0.0001430362,0.00006603017,0.0002081649,0.00001994498,0.0001721661,2.744003e-7,0.0001997847,0.000003125118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008290943,"about_ca_system_score_gemma":0.00001395903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004787481,"about_ca_topic_score_gemma":0.000005883281,"domain_scores_codex":[0.9992665,0.00002750367,0.0001937241,0.0001916669,0.0001445769,0.0001760099],"domain_scores_gemma":[0.9997098,0.0000539702,0.00003732516,0.0001064849,0.00004027713,0.00005217768],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004687175,0.0001578243,0.000006659497,0.0001280186,0.00006957289,0.000002084264,0.00102983,0.4539974,0.481076,0.0002260667,0.0001546921,0.06268317],"study_design_scores_gemma":[0.001211894,0.0006193279,0.00003595851,0.000071825,0.00005493194,0.00001680563,0.0005227353,0.9156392,0.07949392,0.0001620273,0.001829796,0.000341571],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005594446,0.0000659436,0.9924958,0.0001980037,0.000428204,0.0004786084,0.00005183322,0.0001919572,0.0004952577],"genre_scores_gemma":[0.9964826,0.0001034341,0.002680875,0.0001964237,0.00004260383,0.0002119569,0.00003121238,0.00003566721,0.0002152807],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9908881,"threshold_uncertainty_score":0.5832848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02010111013936519,"score_gpt":0.2270017377180214,"score_spread":0.2069006275786562,"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."}}