{"id":"W4386919564","doi":"10.1109/sas58821.2023.10253987","title":"Studying the Effects of Clutter Using V-Band Radar for Drone Classification","year":2023,"lang":"en","type":"article","venue":"","topic":"Radar Systems and Signal Processing","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada; National Research Council Canada; Carleton University","funders":"","keywords":"Clutter; Radar; Drone; Computer science; Remote sensing; Artificial intelligence; 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":[0.0002069684,0.00006328436,0.0001036246,0.00004529605,0.00008525892,0.00002403999,0.00006622942,0.0000299864,0.000002181405],"category_scores_gemma":[0.00002552598,0.0000423625,0.00003404475,0.0001697251,0.00001247874,0.00006785608,0.000006327972,0.0000387431,0.000003632968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001923753,"about_ca_system_score_gemma":0.000006890724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001193101,"about_ca_topic_score_gemma":0.000002630456,"domain_scores_codex":[0.999549,0.000012635,0.0001531272,0.00007278963,0.00009165575,0.0001208014],"domain_scores_gemma":[0.9996483,0.0001866345,0.00002695341,0.0001016709,0.00002203667,0.00001437597],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000004587559,0.00000698034,0.0003103113,0.001228859,0.00005609266,9.136505e-7,0.0008583936,0.004222087,0.9820845,0.0002870661,0.00235689,0.008583359],"study_design_scores_gemma":[0.0006790861,0.00004817411,0.00385069,0.000259589,0.00005228597,0.00000316601,0.001026865,0.7956347,0.195755,0.0003500896,0.002137579,0.0002027001],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8574647,0.000329641,0.1402924,0.0000522261,0.000440912,0.0003998897,0.000001172329,0.0001776595,0.0008413665],"genre_scores_gemma":[0.9990991,0.000006240095,0.0005461512,0.00001219221,0.00009663217,0.00001712314,0.000001548501,0.00001987436,0.0002010766],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7914127,"threshold_uncertainty_score":0.1727493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03704629019211635,"score_gpt":0.2568028330670183,"score_spread":0.219756542874902,"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."}}