{"id":"W3033711656","doi":"10.1109/tap.2020.2998431","title":"A Benchmark for Antenna Correlation Measurements","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Antennas and Propagation","topic":"Antenna Design and Analysis","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Multipath propagation; Computer science; Antenna (radio); Omnidirectional antenna; Correlation function (quantum field theory); Benchmark (surveying); Wideband; Electronic engineering; Correlation coefficient; Covariance matrix; Spatial correlation; Radiation pattern; Directional antenna; Acoustics; Algorithm; Telecommunications; Physics; Spectral density; Engineering; Geology","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":[0.00398646,0.0009821852,0.0007955047,0.001131712,0.000825816,0.00158406,0.001627247,0.001613554,0.002231454],"category_scores_gemma":[0.01826018,0.0003411072,0.0004058209,0.002333884,0.0008328664,0.001592413,0.001459952,0.001433496,0.001592805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001147623,"about_ca_system_score_gemma":0.0007548842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001276981,"about_ca_topic_score_gemma":0.0013079,"domain_scores_codex":[0.9927104,0.002248767,0.0002984356,0.0007195752,0.003623198,0.0003996545],"domain_scores_gemma":[0.9880481,0.003373997,0.0007595096,0.004133709,0.003500681,0.0001841071],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008879199,0.0006806237,0.02099602,0.0007887824,0.0002647449,0.0006894507,0.0006084734,0.5911205,0.1263521,0.04412217,0.01367928,0.19981],"study_design_scores_gemma":[0.00007088991,0.001082203,0.008367005,0.0001427392,0.00007526484,0.0008144386,0.0002565293,0.8055373,0.1539291,0.009513942,0.0200823,0.0001282899],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2081592,0.001224638,0.7529947,0.0008012043,0.0005442692,0.0001732772,0.001267412,0.005691598,0.02914374],"genre_scores_gemma":[0.9071696,0.0002872824,0.08931426,0.0001714916,0.00004975626,0.0001151286,0.0009364602,0.0003000952,0.001656001],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00398646,"threshold_uncertainty_score":0.0210827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03658713299178246,"score_gpt":0.2258224771002663,"score_spread":0.1892353441084839,"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."}}