{"id":"W3095350263","doi":"10.5515/kjkiees.2020.31.9.799","title":"Method for Estimating System Operating Range Based on the Nonlinearity of a Squint Synthetic Aperture Radar Signal Transformation","year":2020,"lang":"en","type":"article","venue":"The Journal of Korean Institute of Electromagnetic Engineering and Science","topic":"Advanced SAR Imaging Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Synthetic aperture radar; Azimuth; SIGNAL (programming language); Computer science; Transformation (genetics); Nonlinear system; Doppler effect; Radar; Phase (matter); Range (aeronautics); Radar imaging; Remote sensing; Artificial intelligence; Optics; Geology; Physics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002722418,0.0005985926,0.0003008876,0.0007268715,0.0002631141,0.0003550991,0.0003092345,0.0003409259,0.001419448],"category_scores_gemma":[0.001210677,0.0001615939,0.0002511374,0.0002814525,0.0002663163,0.0009039548,0.000509877,0.0004836132,0.0006011792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000214031,"about_ca_system_score_gemma":0.0003899574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007033722,"about_ca_topic_score_gemma":0.0009771102,"domain_scores_codex":[0.9997476,0.00004844746,0.00001276997,0.00005547815,0.0001219507,0.00001379991],"domain_scores_gemma":[0.999561,0.0001790092,0.00007330469,0.00004932063,0.0001260136,0.00001125711],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003628431,0.0001084391,0.007626708,0.0003653347,0.0001161891,0.0002489984,0.0003943243,0.1879514,0.2596878,0.0134306,0.001199144,0.5285082],"study_design_scores_gemma":[0.0000150181,0.0001186716,0.003091033,0.00001945237,0.0000318299,0.0005064484,0.00006355211,0.9400656,0.05083665,0.00249536,0.00271151,0.00004483388],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01753463,0.0001266657,0.9810932,0.0000316025,0.00001363776,0.00001844429,0.00002433564,0.0002479689,0.0009094693],"genre_scores_gemma":[0.4997702,0.0003518804,0.4967773,0.00007342993,0.00004913729,0.0001187967,0.0001780585,0.0001163303,0.002564794],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001419448,"threshold_uncertainty_score":0.004748523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01110903831104177,"score_gpt":0.2364514360654266,"score_spread":0.2253423977543848,"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."}}