{"id":"W2163306495","doi":"10.1109/radar.2002.1174645","title":"Bistatic radar denial by spatial waveform diversity","year":2003,"lang":"en","type":"article","venue":"","topic":"Radar Systems and Signal Processing","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Bistatic radar; Computer science; Radar; Continuous-wave radar; Clutter; SIGNAL (programming language); Passive radar; Radar engineering details; Waveform; Fire-control radar; Masking (illustration); Electronic engineering; Radar imaging; Telecommunications; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007269622,0.00008385142,0.0000981938,0.00002294319,0.0001315001,0.00002923068,0.00006238909,0.00003836528,0.0003167451],"category_scores_gemma":[0.000007754416,0.00007273547,0.00002790366,0.00005859145,0.0000116806,0.0001027265,0.00001554828,0.00006078559,0.00004973446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004472374,"about_ca_system_score_gemma":0.000008626836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003275128,"about_ca_topic_score_gemma":0.00007408312,"domain_scores_codex":[0.9995186,0.000009469596,0.0001075487,0.00007943896,0.0001297017,0.0001551857],"domain_scores_gemma":[0.999838,0.00001140302,0.0000111892,0.00006831376,0.00001201991,0.00005910209],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001160861,0.0004353996,0.03117032,0.003019702,0.001004215,0.0004000939,0.01294775,0.007383109,0.1483129,0.02217335,0.5441156,0.2289215],"study_design_scores_gemma":[0.005340849,0.0002733884,0.001384277,0.0001678758,0.0001441899,0.0001649891,0.001902704,0.167923,0.2354248,0.00342138,0.5808578,0.002994779],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3019226,0.0008383513,0.5058104,0.00002757357,0.0009779058,0.0001741067,0.00001702777,0.0005049784,0.1897271],"genre_scores_gemma":[0.9978908,0.000004485255,0.0008929391,0.00002180122,0.00002903529,7.710909e-7,0.000002633849,0.00001159425,0.00114599],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6959681,"threshold_uncertainty_score":0.3468137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005953149557150185,"score_gpt":0.1681120703420607,"score_spread":0.1621589207849105,"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."}}