{"id":"W3136460214","doi":"10.1109/lmwc.2021.3067168","title":"Uniformly Distributed Near-Field Probing Array for Enhancing the Performance of 5G Millimeter-Wave Beamforming Transmitters","year":2021,"lang":"en","type":"article","venue":"IEEE Microwave and Wireless Components Letters","topic":"Microwave Engineering and Waveguides","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Beamforming; Adjacent channel power ratio; Transmitter; Predistortion; Calibration; Electronic engineering; Radio frequency; Extremely high frequency; SIGNAL (programming language); Acoustics; Power (physics); Electrical engineering; Channel (broadcasting); Computer science; Physics; Engineering; Optics; Amplifier","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002776225,0.0004208321,0.0001989102,0.0001718169,0.000111604,0.0002768869,0.0003956178,0.0003244454,0.0005921312],"category_scores_gemma":[0.0005070942,0.000155107,0.000112664,0.0002113793,0.0002016161,0.0006214322,0.0003311003,0.0002321158,0.0003231209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002869058,"about_ca_system_score_gemma":0.0001476753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001701058,"about_ca_topic_score_gemma":0.0004392153,"domain_scores_codex":[0.9997122,0.00008362527,0.0000116049,0.00006563077,0.00009895804,0.00002807498],"domain_scores_gemma":[0.999759,0.00007071363,0.00007171168,0.00002879893,0.00005593872,0.00001386096],"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":[0.0001337699,0.00002609218,0.0008252995,0.00005949195,0.000009708257,0.00008831249,0.00005545534,0.007491461,0.9362935,0.001933944,0.0002532132,0.05282984],"study_design_scores_gemma":[0.00003123418,0.0008341664,0.003028465,0.00002189372,0.00003659854,0.0004734796,0.00005839144,0.1431119,0.8438349,0.0007340069,0.007804419,0.0000304886],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3880234,0.0009323511,0.6023339,0.0002711204,0.0000890786,0.00005151985,0.00006304366,0.0007744404,0.007461011],"genre_scores_gemma":[0.8603938,0.0002756832,0.1375127,0.0001248632,0.00003835652,0.00003573189,0.00004492143,0.00003219167,0.001541793],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0005921312,"threshold_uncertainty_score":0.002081692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01167246435039329,"score_gpt":0.1883931668461825,"score_spread":0.1767207024957892,"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."}}