{"id":"W2123109827","doi":"10.1109/aps.1998.690784","title":"Smart antenna calibration for beamforming","year":2002,"lang":"en","type":"article","venue":"","topic":"Direction-of-Arrival Estimation Techniques","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Beamforming; Smart antenna; Computer science; Calibration; Antenna array; Antenna (radio); Electronic engineering; Direction of arrival; Sensor array; Coupling (piping); Acoustics; Directional antenna; Telecommunications; Engineering; Mathematics; Physics; Statistics","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":[0.000108181,0.00004582846,0.00006494266,0.0000767715,0.00004657531,0.00004303928,0.0002074287,0.00002494734,0.0000409117],"category_scores_gemma":[0.00005635722,0.00004158308,0.00003513295,0.0001765038,0.00001263003,0.0007194434,0.0000337409,0.00001921023,0.000006702508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001206771,"about_ca_system_score_gemma":0.000006124602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001760519,"about_ca_topic_score_gemma":0.000003082885,"domain_scores_codex":[0.9995445,0.000007551018,0.0001541837,0.0001171386,0.00009390648,0.0000827285],"domain_scores_gemma":[0.9996151,0.00005467621,0.00005739681,0.0001813847,0.00006756078,0.00002387933],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003133401,0.0001282863,0.0004597985,0.00005706924,0.00001400309,5.331991e-7,0.0007233419,0.00005286503,0.01770151,0.6572757,0.01643306,0.3071507],"study_design_scores_gemma":[0.00006455723,0.00005313961,0.00005811477,0.0000088128,0.000001246791,0.000002643284,0.000003995885,0.8994917,0.09025497,0.00727707,0.002725498,0.00005822253],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0005011765,0.000009793342,0.9902454,0.0005058601,0.0001178372,0.0001537672,7.183373e-7,0.0003974056,0.008068031],"genre_scores_gemma":[0.3491655,0.000003861076,0.6495453,0.0001498907,0.00001474233,0.0000282679,9.972348e-7,0.000003857663,0.001087586],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8994389,"threshold_uncertainty_score":0.1695709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03210348568111186,"score_gpt":0.2560533611305458,"score_spread":0.2239498754494339,"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."}}