{"id":"W4416924488","doi":"10.1109/dasc66011.2025.11257413","title":"Coherent Ofdm Radar Backscatter Modelling for Drones","year":2025,"lang":"","type":"article","venue":"","topic":"Advanced SAR Imaging Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; University of Ottawa","funders":"","keywords":"Radar; Process (computing); Backscatter (email); Drone; Position (finance); Fire-control radar; Bistatic radar; Radar engineering details; SIGNAL (programming language)","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001802721,0.0004292971,0.0004470512,0.0002232324,0.000138731,0.00009449108,0.0003747483,0.0001746288,0.0002429304],"category_scores_gemma":[0.00002044202,0.0004683364,0.000212703,0.0002422552,0.00006703274,0.0002821946,0.0001331034,0.0002865469,0.00004359899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002554526,"about_ca_system_score_gemma":0.00004852345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002826593,"about_ca_topic_score_gemma":0.000008161764,"domain_scores_codex":[0.9981467,0.00001868034,0.0005718675,0.0004956116,0.0001440183,0.0006231311],"domain_scores_gemma":[0.998926,0.0001832082,0.00005267119,0.000637716,0.0001223126,0.00007802672],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001387474,0.0002563517,0.0002444347,0.003199107,0.0006997351,0.000006787476,0.0006524227,0.6049098,0.01891036,0.07980891,0.1644355,0.1267379],"study_design_scores_gemma":[0.0004987207,0.00002934332,0.000004673008,0.0003749775,0.00009001105,0.000001309896,0.00008390108,0.7744062,0.08147539,0.05218975,0.09038087,0.0004648291],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0005503525,0.002173075,0.9774716,0.001384159,0.0008604114,0.001150505,0.00002558874,0.001212614,0.01517166],"genre_scores_gemma":[0.2454664,0.0003961159,0.7414463,0.0005504475,0.0001429349,0.0002207767,0.00001572426,0.0001140244,0.01164723],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2449161,"threshold_uncertainty_score":0.9997768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01682455747870345,"score_gpt":0.2787813057440393,"score_spread":0.2619567482653358,"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."}}