{"id":"W2982392350","doi":"10.1109/apusncursinrsm.2019.8889109","title":"A New Millimeter Wave FMCW Radar Target Simulator Based on Frequency Synchronization","year":2019,"lang":"en","type":"article","venue":"","topic":"Advanced SAR Imaging Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Extremely high frequency; Continuous-wave radar; Radar; Computer science; Synchronization (alternating current); Range (aeronautics); Electronic engineering; Pulse-Doppler radar; Radar engineering details; Frequency modulation; Radar lock-on; Frequency band; Acoustics; Radio frequency; Radar imaging; Telecommunications; Engineering; Physics; Bandwidth (computing); Aerospace engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001624081,0.0002976748,0.0002635507,0.00015882,0.00008644597,0.0002504655,0.0006532089,0.0003512867,0.001624173],"category_scores_gemma":[0.0002955204,0.0001629002,0.0002394968,0.0001326146,0.0001164939,0.0005114056,0.0004349208,0.0003737523,0.0005601309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001352209,"about_ca_system_score_gemma":0.0003072359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003693184,"about_ca_topic_score_gemma":0.0003606184,"domain_scores_codex":[0.9998492,0.00001782035,0.000006161227,0.00001875575,0.00009757043,0.00001043584],"domain_scores_gemma":[0.9998808,0.00003164747,0.00001549821,0.00002152386,0.0000377372,0.000012746],"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":[0.000400033,0.0001236857,0.002893047,0.0003028557,0.0001159235,0.0003013753,0.0001569469,0.184091,0.6536635,0.01409925,0.003672662,0.1401796],"study_design_scores_gemma":[0.00006813523,0.0002685518,0.0009300889,0.000009449806,0.00003574921,0.0002574876,0.00001426832,0.8737349,0.1109198,0.0007466073,0.01298845,0.00002643469],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04492996,0.0001098661,0.9484866,0.00006856219,0.00009165627,0.00007789189,0.0001279653,0.001907045,0.004200462],"genre_scores_gemma":[0.7037987,0.000301497,0.2862375,0.0001363695,0.00003823546,0.0002089445,0.0006903741,0.0002442063,0.008344212],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001624173,"threshold_uncertainty_score":0.005433381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006144066378959775,"score_gpt":0.2090373321956207,"score_spread":0.202893265816661,"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."}}