{"id":"W2004118231","doi":"10.1109/msp.2008.930413","title":"Waveform-Agile Sensing and Processing [From the Guest Editors]","year":2009,"lang":"en","type":"article","venue":"IEEE Signal Processing Magazine","topic":"Radar Systems and Signal Processing","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Waveform; Computer science; Space-time adaptive processing; Agile software development; Signal processing; Radar; Radar signal processing; Electronic engineering; Focus (optics); Radar systems; Radar engineering details; Telecommunications; Radar imaging; Engineering; Physics; Optics","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":[0.001343375,0.001619234,0.001278584,0.001759039,0.0007224804,0.003037516,0.001323364,0.002185923,0.01536821],"category_scores_gemma":[0.003352269,0.0005353808,0.000554128,0.001576229,0.0008691566,0.002303196,0.0009105483,0.005055744,0.01815348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005939408,"about_ca_system_score_gemma":0.0008002811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007092735,"about_ca_topic_score_gemma":0.001461793,"domain_scores_codex":[0.9991813,0.00007129965,0.00008699567,0.0002009915,0.0003969076,0.00006256617],"domain_scores_gemma":[0.9970996,0.000493634,0.0001154366,0.0001167448,0.001838346,0.0003362424],"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":[0.00005437,0.00002116614,0.00006539076,0.0002731851,0.00001744935,0.0000798299,0.0000207332,0.0002142157,0.0008895941,0.003003125,0.887894,0.1074669],"study_design_scores_gemma":[0.000008176845,0.00007861701,0.0002530254,0.0001250928,0.00001142388,0.0003633533,0.00001590391,0.0004705389,0.0005364588,0.002325377,0.9957858,0.00002624478],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0005001515,0.07943868,0.009285901,0.016731,0.8690494,0.00005006514,0.0001896846,0.0003360014,0.02441921],"genre_scores_gemma":[0.004515597,0.1046275,0.006001175,0.01246837,0.7556024,0.0000627191,0.0004384407,0.0003270919,0.1159567],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.01536821,"threshold_uncertainty_score":0.05141181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009357791164653522,"score_gpt":0.2092070785189181,"score_spread":0.1998492873542646,"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."}}