{"id":"W2076954160","doi":"10.1109/antem.2010.5552530","title":"Field characterization of an air surveillance radar at near-ground locations","year":2010,"lang":"en","type":"article","venue":"","topic":"Electromagnetic Compatibility and Measurements","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Communications Security Establishment","funders":"Health Canada","keywords":"Radar; Electromagnetic interference; EMI; Engineering; Electromagnetic compatibility; Acoustics; Remote sensing; Radar imaging; Near and far field; Aperture (computer memory); Antenna (radio); Antenna aperture; Electrical engineering; Electronic engineering; Radiation pattern; Aerospace engineering; Optics; Geology; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001861714,0.0001450841,0.0001889536,0.0005388057,0.0001679801,0.0002174134,0.0001690425,0.0002123143,0.0008910834],"category_scores_gemma":[0.0003885553,0.00007079991,0.00010116,0.0002515338,0.00018554,0.000315951,0.0001382667,0.0001647054,0.0001836056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001293319,"about_ca_system_score_gemma":0.0001157552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006251688,"about_ca_topic_score_gemma":0.000662519,"domain_scores_codex":[0.9999032,0.00001837966,0.000003731434,0.00001955986,0.00004092123,0.00001428555],"domain_scores_gemma":[0.9997725,0.00007852243,0.00003175472,0.00001978757,0.00007993603,0.00001749698],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006081277,0.0002026185,0.02026459,0.000163998,0.00002335219,0.0006099096,0.0006856541,0.04911229,0.8436375,0.002649118,0.000703509,0.08133932],"study_design_scores_gemma":[0.00008615477,0.002361447,0.1471657,0.00005330909,0.00005821996,0.001712558,0.001492211,0.3975449,0.4423169,0.00230123,0.004838407,0.00006904138],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9422911,0.0001264142,0.05267411,0.00004228412,0.00001036737,0.00004010182,0.0001391635,0.0001462216,0.004530255],"genre_scores_gemma":[0.9944299,0.00007191725,0.004679962,0.00001466654,0.000004725009,0.000009379577,0.0000988094,0.000005317682,0.0006853337],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008910834,"threshold_uncertainty_score":0.002981007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007564112752790578,"score_gpt":0.2033938764696369,"score_spread":0.1958297637168463,"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."}}