{"id":"W3021281145","doi":"10.1109/radar41533.2019.171271","title":"Surveillance RADAR development using frequency diversity to mitigate range eclipsing","year":2019,"lang":"en","type":"article","venue":"","topic":"Radar Systems and Signal Processing","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"SR Research (Canada)","funders":"","keywords":"Radar; Waveform; Remote sensing; Continuous-wave radar; Computer science; Transceiver; Fire-control radar; Diversity scheme; Radar lock-on; Pulse-Doppler radar; Radar engineering details; SIGNAL (programming language); 3D radar; Bistatic radar; Radar systems; Low probability of intercept radar; Interference (communication); Radar imaging; Telecommunications; Fading; Geography; Wireless","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":[0.0002160957,0.0001412667,0.0001958701,0.00007057349,0.0001726291,0.00005265376,0.0001380131,0.00004987628,0.0001047227],"category_scores_gemma":[0.000005924885,0.0001364089,0.00003313636,0.0001718859,0.000006791004,0.0001813962,0.00008761694,0.00007779108,0.0002046293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001572852,"about_ca_system_score_gemma":0.0000279085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001725413,"about_ca_topic_score_gemma":0.0000803225,"domain_scores_codex":[0.9991322,0.00001573676,0.000200616,0.0001812154,0.0001983175,0.0002719746],"domain_scores_gemma":[0.9996839,0.00001881275,0.00002180711,0.0001383772,0.00003599975,0.0001010756],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002510264,0.00003555575,0.6282313,0.001280991,0.0002351946,0.00007128403,0.0072966,0.06183354,0.2772442,0.0004016737,0.001548691,0.02179589],"study_design_scores_gemma":[0.006423638,0.0002091375,0.469136,0.003040593,0.00007606776,0.0002153835,0.003111699,0.3080026,0.1391066,0.001042581,0.06058481,0.009050786],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9586642,0.0002439036,0.02759892,0.00001638831,0.0005069867,0.0001708579,0.000001956634,0.0002186738,0.01257807],"genre_scores_gemma":[0.9813166,0.00000156099,0.01826556,0.00004970689,0.00005149914,9.413694e-7,0.000001376188,0.00002108257,0.0002916942],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2461691,"threshold_uncertainty_score":0.5562593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01626510617324084,"score_gpt":0.2008789090826985,"score_spread":0.1846138029094576,"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."}}