{"id":"W3035773905","doi":"10.3390/app10124123","title":"Understanding Digital Radio Frequency Memory Performance in Countermeasure Design","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Radar Systems and Signal Processing","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Digital radio frequency memory; Field-programmable gate array; Transmitter; Software-defined radio; Computer science; Computer hardware; Electronic engineering; Wideband; Radio frequency; Embedded system; Radar; Electrical engineering; Engineering; Telecommunications; Pulse-Doppler radar; Radar imaging","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":[0.0005793637,0.0004998437,0.0001790843,0.0006586236,0.0001768276,0.001057659,0.0007535801,0.0005742076,0.002187774],"category_scores_gemma":[0.003009516,0.0002260506,0.0001201666,0.0003520318,0.0004050296,0.002072443,0.0003339865,0.0004970336,0.000569689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006317586,"about_ca_system_score_gemma":0.000283941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005738753,"about_ca_topic_score_gemma":0.0005076728,"domain_scores_codex":[0.9996488,0.00006702075,0.00001710853,0.00006494293,0.0001469157,0.00005516353],"domain_scores_gemma":[0.9987747,0.0006986978,0.0001669324,0.0001284577,0.0002055522,0.00002570889],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005516951,0.0002267486,0.009641163,0.000768598,0.00007283483,0.0004423712,0.0005128059,0.2070041,0.2023657,0.07438129,0.001172332,0.5028603],"study_design_scores_gemma":[0.00005793613,0.001130977,0.004016645,0.0001732924,0.00008105215,0.000976526,0.0002363912,0.7078009,0.2478773,0.02037138,0.0172294,0.00004822778],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3826794,0.006406612,0.5808296,0.0008732128,0.0001379988,0.00007618183,0.00007117381,0.001046699,0.0278791],"genre_scores_gemma":[0.9439264,0.001028397,0.05264463,0.0001057139,0.00004288358,0.00002328827,0.0000332348,0.00005626076,0.002139093],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002187774,"threshold_uncertainty_score":0.007318795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1116516492517885,"score_gpt":0.2104511088536028,"score_spread":0.09879945960181433,"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."}}