{"id":"W4404739967","doi":"10.1109/mobisecserv63327.2024.10759963","title":"Voice Command Drone for Law Enforcement and Emergency Response","year":2024,"lang":"en","type":"article","venue":"","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Law enforcement; Drone; Computer security; Computer science; Aeronautics; Law; Business; Political science; 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":[0.00007469528,0.00003997368,0.00003146741,0.00002089967,0.00003543696,0.00002172131,0.00001986554,0.00001828917,0.0001608613],"category_scores_gemma":[0.000001691264,0.00003652185,0.00001061379,0.0000536173,0.000005568047,0.0000515931,0.000006574284,0.00001804336,0.00001756609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001232024,"about_ca_system_score_gemma":0.000002106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001814059,"about_ca_topic_score_gemma":0.0000325605,"domain_scores_codex":[0.9997825,0.000002510711,0.00007398608,0.00005892966,0.00002399974,0.00005809855],"domain_scores_gemma":[0.9998761,0.00002796095,0.000002278701,0.0000642464,0.00000955395,0.00001988003],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005362192,0.00001595251,0.00003018177,0.0002791276,0.00006368352,5.356674e-7,0.0005746357,0.04298591,0.01073598,0.8932546,0.04563617,0.00636957],"study_design_scores_gemma":[0.00007826082,0.00001820345,0.00005822014,0.000005087169,0.000009405261,6.933108e-7,0.00002154294,0.5602969,0.001196139,0.0007795262,0.4374766,0.0000594404],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02213097,0.001123278,0.9360938,0.0002801606,0.0001903639,0.0003389324,0.00001667038,0.0003838488,0.03944195],"genre_scores_gemma":[0.9880785,0.0001972023,0.008220862,0.00001922812,0.00003199551,0.00009969944,0.00001577734,0.00001421707,0.003322459],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9659476,"threshold_uncertainty_score":0.1761318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008348808640623628,"score_gpt":0.2404963678883105,"score_spread":0.2321475592476869,"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."}}