{"id":"W3042867243","doi":"10.3390/s20143923","title":"Malicious UAV Detection Using Integrated Audio and Visual Features for Public Safety Applications","year":2020,"lang":"en","type":"article","venue":"Sensors","topic":"Video Surveillance and Tracking Methods","field":"Computer Science","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Drone; Computer science; Provisioning; Scheme (mathematics); Feature (linguistics); Computer security; Artificial intelligence; Support vector machine; Deep learning; Public security; Real-time computing; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002156424,0.0005974362,0.0004350939,0.001239194,0.0001673306,0.0003741019,0.0004189348,0.00042659,0.0006699421],"category_scores_gemma":[0.0006740842,0.0001477698,0.0003455095,0.0005531309,0.0002160009,0.0006976564,0.0004693235,0.0004104379,0.0004116354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002286618,"about_ca_system_score_gemma":0.0002470248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002224071,"about_ca_topic_score_gemma":0.003877256,"domain_scores_codex":[0.9997821,0.0000241244,0.00001018051,0.0000544642,0.00008280062,0.00004634322],"domain_scores_gemma":[0.999738,0.00005547635,0.00004555568,0.00004138859,0.00009275651,0.00002688811],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006942698,0.0003262671,0.01008441,0.0001328718,0.00008060351,0.0003509898,0.00007346035,0.0367735,0.1506913,0.0008438693,0.003579489,0.796369],"study_design_scores_gemma":[0.00002593013,0.000280377,0.01222441,0.00002304873,0.00007444202,0.0003580568,0.0001065509,0.93207,0.05130616,0.001168559,0.002337478,0.00002490548],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.42643,0.001944661,0.5640087,0.0003594298,0.0002293396,0.0001142246,0.0005443364,0.002397846,0.003971516],"genre_scores_gemma":[0.9281134,0.0005276238,0.0686264,0.00008690318,0.00007969279,0.00002501172,0.0006933709,0.00003307343,0.001814613],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002224071,"threshold_uncertainty_score":0.004422307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0445550845053924,"score_gpt":0.3095517292916006,"score_spread":0.2649966447862082,"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."}}