{"id":"W4285276323","doi":"10.1109/tvt.2022.3184804","title":"Improving Dual-UAV Aided Ground-UAV Bi-Directional Communication Security: Joint UAV Trajectory and Transmit Power Optimization","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Transmitter power output; Computer science; Trajectory; Real-time computing; Communications system; Transmitter; Computer network","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002281293,0.0002710499,0.0002635914,0.0007924461,0.0008294088,0.00005174294,0.0002035827,0.0002801558,0.0003483084],"category_scores_gemma":[0.000004659072,0.000334443,0.000107346,0.001022986,0.0001440689,0.0002349645,0.000007989061,0.0008456389,0.000009193146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003229119,"about_ca_system_score_gemma":0.00004053672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006834151,"about_ca_topic_score_gemma":0.00006116341,"domain_scores_codex":[0.9985336,0.00008733405,0.0004214401,0.0004048727,0.0002536525,0.0002991052],"domain_scores_gemma":[0.9991296,0.00004857194,0.00008727297,0.0005758064,0.00009045841,0.00006831048],"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":[0.00001762104,0.0001700005,0.000007174113,0.00002797701,0.00008443339,0.000003337424,0.0002737635,0.982038,0.009784827,0.0006058138,0.00007074495,0.006916314],"study_design_scores_gemma":[0.001042146,0.0002047864,0.00006874975,0.00002204469,0.0001191366,0.0001896343,0.000730699,0.9767088,0.01670059,0.0006581503,0.003038788,0.0005164436],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1038219,0.0006573482,0.8921392,0.0007307801,0.0002909418,0.0005907562,0.00007063032,0.001428744,0.0002697694],"genre_scores_gemma":[0.9829645,0.0003875947,0.01555172,0.00008022792,0.00001563066,0.0007889387,0.00006692492,0.00008161749,0.00006289028],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8791426,"threshold_uncertainty_score":0.9999108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005321697648864511,"score_gpt":0.1811667130239881,"score_spread":0.1758450153751236,"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."}}