{"id":"W4392025084","doi":"10.1109/aipr60534.2023.10440658","title":"Synthetic Dataset for Quadcopter Detection Based on Frequency Propeller Signature","year":2023,"lang":"en","type":"article","venue":"","topic":"Autonomous Vehicle Technology and Safety","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada; National Research Council Canada","funders":"","keywords":"Quadcopter; Computer science; Signature (topology); Propeller; Artificial intelligence; Engineering; Mathematics; Aerospace engineering; Marine engineering","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":[0.0001190832,0.0001042158,0.0000872981,0.0001155791,0.00006610849,0.000007370159,0.0001078688,0.0001892113,0.0001641223],"category_scores_gemma":[0.00002343303,0.00008690223,0.00003357084,0.0001691146,0.00002129279,0.00004534636,0.00000958925,0.000173112,0.0005351478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003427092,"about_ca_system_score_gemma":0.000007937439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003694937,"about_ca_topic_score_gemma":0.00002212061,"domain_scores_codex":[0.9994784,0.000007885965,0.0001051671,0.00016075,0.00005376942,0.000194046],"domain_scores_gemma":[0.9996186,0.0000666897,0.000009897342,0.0002706738,0.00001017883,0.00002390486],"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":[0.0002389914,0.0001969402,0.0003768131,0.0007133404,0.0002303117,0.00006800227,0.0001849853,0.29162,0.1455425,0.007729264,0.1913781,0.3617208],"study_design_scores_gemma":[0.0004240753,0.0001489304,0.0005213105,0.00002130699,0.00001715155,0.000001980767,0.00002313124,0.8669489,0.08926772,0.001437878,0.04091047,0.0002771252],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.185511,0.0002380109,0.7299457,0.005444917,0.002959248,0.00480276,0.005124673,0.02474499,0.04122865],"genre_scores_gemma":[0.9982719,0.000004087233,0.0008328748,0.0001381601,0.00002694869,0.00009704469,0.0003901993,0.00002665152,0.0002120811],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8127609,"threshold_uncertainty_score":0.6878421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01068239296578711,"score_gpt":0.216539390514334,"score_spread":0.2058569975485469,"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."}}