{"id":"W4401568541","doi":"10.1109/itc-egypt61547.2024.10620583","title":"Unveiling Aerial Threats: Enhancing UAV Classification Through Radar Digital Twins","year":2024,"lang":"en","type":"article","venue":"","topic":"Guidance and Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Remote sensing; Radar; Computer science; Radar tracker; Radar imaging; Environmental science; Geology; Telecommunications","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":[0.00007116071,0.0001375807,0.0001475695,0.00003670774,0.00004024259,0.0003115424,0.00009040833,0.00007320145,0.0000862194],"category_scores_gemma":[0.000009685948,0.0001199335,0.00007648585,0.000158058,0.00001206254,0.0006265757,0.00001121565,0.0001013767,0.00071348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008640937,"about_ca_system_score_gemma":0.0000245438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001941457,"about_ca_topic_score_gemma":0.0000246016,"domain_scores_codex":[0.9991846,0.000006229647,0.0002603499,0.000191011,0.0001357968,0.0002220305],"domain_scores_gemma":[0.9997123,0.00004311595,0.00001066177,0.0001811274,0.00001700111,0.00003582977],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003199336,0.00005674519,0.0003754828,0.0009371262,0.000541713,0.00007380801,0.00425618,0.005223136,0.7392702,0.0907078,0.02089691,0.1376289],"study_design_scores_gemma":[0.001276577,0.0001127382,0.0005800936,0.0008506023,0.0001047895,0.00007229714,0.00352806,0.4569422,0.06581646,0.005613063,0.4636712,0.00143194],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2051482,0.009535083,0.3591571,0.0003376017,0.006302921,0.0004963435,0.00002977739,0.004372214,0.4146207],"genre_scores_gemma":[0.997347,0.00005554245,0.0002646645,0.00002543241,0.0009734334,0.00002547741,0.00001535054,0.00003865615,0.001254435],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7921988,"threshold_uncertainty_score":0.9170579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850614001752077,"score_gpt":0.2390419976732868,"score_spread":0.2205358576557661,"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."}}