{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002542578,0.0001549363,0.0001361209,0.0002853335,0.0006511881,0.00004910911,0.0006131,0.0001142256,0.0000757279],"category_scores_gemma":[0.000004135467,0.0001647988,0.0000320847,0.001209968,0.0001042663,0.0002851735,0.000008185211,0.0002883351,0.0000745851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005794545,"about_ca_system_score_gemma":0.00002366177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003913388,"about_ca_topic_score_gemma":0.0002219377,"domain_scores_codex":[0.9990954,0.00007256268,0.0002616778,0.0002379261,0.0001604535,0.0001719122],"domain_scores_gemma":[0.9976709,0.000167656,0.00001932192,0.001977774,0.00007324363,0.00009111746],"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":[0.00002989962,0.000361684,0.0000484027,0.0001215909,0.0002744625,9.942031e-7,0.003012509,0.5380435,0.01076445,0.001583826,0.04405982,0.4016989],"study_design_scores_gemma":[0.0002513958,0.00002324996,0.0002993003,0.00003839697,0.00008709264,0.000005897281,0.0001957406,0.9662395,0.001042515,0.0003968322,0.03122629,0.00019375],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004629684,0.0003807983,0.985827,0.001989366,0.0001966082,0.000485721,0.0001758687,0.001470214,0.004844733],"genre_scores_gemma":[0.979421,0.01103612,0.008366608,0.00003212743,0.00002132685,0.0002230348,0.0003753861,0.0000541214,0.0004702338],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9774604,"threshold_uncertainty_score":0.6720302,"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."}}