{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004548368,0.000879812,0.0005195069,0.001260702,0.0004218474,0.0004465856,0.001163551,0.000997772,0.002863849],"category_scores_gemma":[0.001797136,0.0002352125,0.0006711361,0.0009819368,0.0004234072,0.0004408436,0.0006820631,0.0008402074,0.00167071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004492989,"about_ca_system_score_gemma":0.0005063072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004689101,"about_ca_topic_score_gemma":0.009478646,"domain_scores_codex":[0.9994227,0.00006379319,0.00004878085,0.0001382582,0.0002474108,0.00007908556],"domain_scores_gemma":[0.998774,0.0002777575,0.00009331435,0.000267794,0.0004929691,0.00009421275],"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":[0.001877359,0.002755166,0.04574865,0.001965122,0.0004380937,0.002484984,0.0003130022,0.182221,0.09989244,0.003059448,0.2482829,0.410962],"study_design_scores_gemma":[0.0002507499,0.001612072,0.1094211,0.0002152433,0.000145709,0.003402193,0.0007039439,0.6521271,0.1187756,0.003796176,0.1093078,0.0002424242],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.5991526,0.001355659,0.1444446,0.001152604,0.001418969,0.001159745,0.2227448,0.01178955,0.01678154],"genre_scores_gemma":[0.5386071,0.0003835858,0.07449608,0.0002877828,0.0001026395,0.0006232676,0.3800352,0.0003454273,0.005119116],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.004689101,"threshold_uncertainty_score":0.009580553,"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."}}