{"id":"W4312969092","doi":"10.52547/jgit.10.1.69","title":"Comparison Study of Signal Processing Algorithms for 3D SAR Imaging of MM-WAVE GBSAR System","year":2022,"lang":"en","type":"article","venue":"Journal of Geospatial Information Technology","topic":"Synthetic Aperture Radar (SAR) Applications and Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Signal processing; Algorithm; SIGNAL (programming language); Artificial intelligence; Computer vision; Telecommunications; Radar","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":[0.0004092102,0.0001187136,0.0004192689,0.0006647852,0.000117331,0.00001281509,0.0002593171,0.00007223628,0.00001581808],"category_scores_gemma":[0.00002152414,0.0001131371,0.00006919594,0.0003966674,0.00004426142,0.0002842949,0.00006719363,0.0002781911,3.874425e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000140744,"about_ca_system_score_gemma":0.00005095157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002355693,"about_ca_topic_score_gemma":0.00000173478,"domain_scores_codex":[0.9983016,0.00001799055,0.001195296,0.0000560279,0.0002903607,0.0001387159],"domain_scores_gemma":[0.9984363,0.000049248,0.0009586785,0.0001537632,0.0003781511,0.00002388904],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003654954,0.0001581227,0.0006711131,0.0002498439,0.0000694692,9.733697e-7,0.001710366,0.002400274,0.0003627799,0.0006824078,0.0002245806,0.9934335],"study_design_scores_gemma":[0.001338502,0.001306232,0.0001978116,0.0001216055,0.000124365,0.0002590464,0.02897867,0.8596528,0.02290538,0.0003306076,0.08455916,0.0002258467],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04462641,0.0002297523,0.9540887,0.00009804167,0.0001063111,0.000511145,0.00002626847,0.0001513292,0.0001619949],"genre_scores_gemma":[0.7616988,0.000004104972,0.2382208,0.000005918122,0.00002449418,0.00002916049,0.000005403323,0.00001052136,8.368922e-7],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9932077,"threshold_uncertainty_score":0.4613595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01303084095426707,"score_gpt":0.2572256051205351,"score_spread":0.244194764166268,"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."}}