{"id":"W4408703641","doi":"10.1109/emts57498.2023.10925330","title":"UAV Detection &amp; Classification Aided by Full-Wave Electromagnetic CAD Tools","year":2023,"lang":"en","type":"article","venue":"","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"CAD; Computer science; Engineering; Engineering drawing","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":[0.0006064782,0.000436527,0.000374246,0.0008765674,0.0001772908,0.0006901855,0.0004429173,0.0004496938,0.002089873],"category_scores_gemma":[0.002358705,0.0002450553,0.0003145144,0.0003042238,0.0002174142,0.0005089789,0.0002793749,0.0002594339,0.0007566481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002627033,"about_ca_system_score_gemma":0.0003467111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001346381,"about_ca_topic_score_gemma":0.002020599,"domain_scores_codex":[0.9995818,0.00007354338,0.00002824681,0.00007301317,0.0001972272,0.00004624807],"domain_scores_gemma":[0.9988378,0.0005173316,0.0001501297,0.0001582326,0.0003173781,0.0000192447],"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":[0.0006895239,0.0001284527,0.007002938,0.0002569669,0.00006392424,0.0002859762,0.000186373,0.1982157,0.2321485,0.001913131,0.002041099,0.5570673],"study_design_scores_gemma":[0.00002060219,0.0001947677,0.006253939,0.00001931977,0.00002507959,0.000206483,0.00005541845,0.9140498,0.07630635,0.0003230704,0.002519691,0.00002552059],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2833734,0.000340067,0.7095861,0.0001115287,0.0000756035,0.00008863636,0.0001448803,0.00288551,0.00339426],"genre_scores_gemma":[0.7637901,0.0001806592,0.234345,0.00004384236,0.000008211953,0.00004068274,0.0001403336,0.00006126049,0.001389998],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002089873,"threshold_uncertainty_score":0.006991267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03464439933219011,"score_gpt":0.2220964516299217,"score_spread":0.1874520522977316,"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."}}