{"id":"W7117545835","doi":"10.1109/icscn67106.2025.11308390","title":"Development of an IoT-based UAV Platform for Intelligent 360° Aerial Security Surveillance","year":2025,"lang":"","type":"article","venue":"","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Adversary; Key (lock); Drone; National security; Training (meteorology)","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":[0.00008138022,0.000234099,0.0001835849,0.0002356067,0.0001589559,0.0002516305,0.0003837399,0.000250644,0.001873023],"category_scores_gemma":[0.00008595704,0.0001252557,0.0001902425,0.00009092023,0.00008072487,0.0003315797,0.0002953998,0.0001896986,0.0007038668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009891843,"about_ca_system_score_gemma":0.000215561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000435593,"about_ca_topic_score_gemma":0.000660846,"domain_scores_codex":[0.999931,0.00000396664,0.000003492035,0.00001251419,0.00003410081,0.00001504051],"domain_scores_gemma":[0.9999535,0.000003653866,0.000007116863,0.000005465396,0.00001867983,0.000011508],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002336762,0.000169916,0.003872661,0.0003809342,0.00003922746,0.001576741,0.0001974985,0.0106309,0.8187411,0.005250607,0.005493528,0.1534133],"study_design_scores_gemma":[0.0001308886,0.002871261,0.02304753,0.0001705608,0.0001154345,0.003109349,0.000330628,0.2326284,0.5987338,0.002268434,0.1364793,0.0001144064],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4493979,0.001094973,0.4853384,0.0004976821,0.0006350154,0.0008941414,0.0006719988,0.003948513,0.05752158],"genre_scores_gemma":[0.8209251,0.0005600336,0.1553213,0.0002115648,0.00003825254,0.0003542549,0.0005749666,0.0001065036,0.02190795],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001873023,"threshold_uncertainty_score":0.006265879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01385530959464699,"score_gpt":0.2560767427277718,"score_spread":0.2422214331331248,"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."}}