{"id":"W2990755211","doi":"10.3390/electronics8121447","title":"MIMO Radar Using a Vector Network Analyzer","year":2019,"lang":"en","type":"article","venue":"Electronics","topic":"Radar Systems and Signal Processing","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"MIMO; Electronic engineering; Radar; Computer science; Bandwidth (computing); Network analyzer (electrical); Spectrum analyzer; Signal processing; Radar engineering details; Continuous-wave radar; Engineering; Radar imaging; Telecommunications; Beamforming","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":[0.0001361899,0.0001290894,0.0001855107,0.00003441975,0.0000555839,0.00004871186,0.0001050563,0.00007090097,0.00008566721],"category_scores_gemma":[0.000003055842,0.0001267396,0.00005789897,0.0002452667,0.000006201274,0.0001107701,0.00001078916,0.0002024478,0.00008417905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001518334,"about_ca_system_score_gemma":0.0000575922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005665068,"about_ca_topic_score_gemma":0.0000143836,"domain_scores_codex":[0.9990906,0.000015448,0.0001661228,0.0001368102,0.0001324756,0.0004585771],"domain_scores_gemma":[0.9997177,0.00001775854,0.00002756886,0.0001702892,0.00001894372,0.00004770394],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003002167,0.00002678864,0.003062778,0.0004332773,0.0003825509,0.00002120375,0.000380442,0.7873567,0.1787845,0.004309298,0.009571994,0.01564036],"study_design_scores_gemma":[0.0004669817,0.00008400436,0.0003062832,0.0001355718,0.00004360567,0.00004434821,0.0000307509,0.7032646,0.005535359,0.0006536758,0.2888571,0.0005776968],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9310105,0.04598377,0.01517603,0.0000203152,0.0007696626,0.0001819886,0.000001333354,0.0003148454,0.00654156],"genre_scores_gemma":[0.9978327,0.0000832021,0.001303556,0.00003170607,0.0003628942,0.000001593024,0.000002690399,0.00004770501,0.0003339463],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2792851,"threshold_uncertainty_score":0.516829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006632534548773759,"score_gpt":0.2019202073934372,"score_spread":0.1952876728446634,"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."}}