{"id":"W4320713284","doi":"10.1109/tcomm.2023.3244954","title":"UAV-Aided Secure Short-Packet Data Collection and Transmission","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"National Natural Science Foundation of China","keywords":"Computer science; Base station; Network packet; Data transmission; Real-time computing; Transmitter power output; Eavesdropping; Transmission (telecommunications); Wireless; Computer network; Data collection; Scheduling (production processes); Channel (broadcasting); Mathematical optimization; Transmitter; 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":[0.0004386977,0.0006682478,0.0005278304,0.0002653803,0.0003939919,0.0004009993,0.0006653325,0.0003745104,0.0007358143],"category_scores_gemma":[0.0009312437,0.000190248,0.0003729051,0.0004646861,0.0003968206,0.0008222022,0.001051856,0.0005830242,0.0002431726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003443864,"about_ca_system_score_gemma":0.0007823406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001367141,"about_ca_topic_score_gemma":0.001762875,"domain_scores_codex":[0.9995279,0.00009878885,0.00003107486,0.00008577637,0.0001728131,0.00008368484],"domain_scores_gemma":[0.9993789,0.0002077476,0.0001363641,0.0001362951,0.000109289,0.00003133273],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000706782,0.0001566967,0.00231697,0.0002814574,0.00009446158,0.0006603437,0.0002828823,0.7136092,0.1010226,0.0222459,0.003455,0.1551677],"study_design_scores_gemma":[0.0000184283,0.0001914938,0.0003773349,0.000006250045,0.00001382949,0.0001757437,0.00003762982,0.9807591,0.01553836,0.001807552,0.001061862,0.00001241063],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05171558,0.0003047678,0.945803,0.0001252086,0.00005456369,0.00005519093,0.00008098171,0.0002633147,0.001597377],"genre_scores_gemma":[0.9222955,0.0003113985,0.07528133,0.00006304641,0.00003469605,0.00007775858,0.0001522031,0.00002018858,0.00176376],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001367141,"threshold_uncertainty_score":0.002718389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06239283711518467,"score_gpt":0.2891697660732812,"score_spread":0.2267769289580965,"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."}}