{"id":"W4388642360","doi":"10.1109/jiot.2023.3332038","title":"Aerial-IRS-Assisted Securing Communications Against Eavesdropping: Joint Trajectory and Resource Allocation","year":2023,"lang":"en","type":"article","venue":"IEEE Internet of Things Journal","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"National Natural Science Foundation of China","keywords":"Eavesdropping; Computer science; Resource allocation; Joint (building); Computer network; Trajectory; Resource management (computing); Computer security; Resource (disambiguation); Mobile telephony; Telecommunications; Mobile radio; 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":[0.0004244935,0.000156244,0.0002398628,0.000404414,0.0001237771,0.00007531523,0.0008768743,0.0001165416,0.00000575431],"category_scores_gemma":[0.0001619292,0.0001653579,0.00007478424,0.0002835079,0.000192037,0.0003633826,0.0002554604,0.0007060069,0.00001041112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000145899,"about_ca_system_score_gemma":0.00001813293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009747998,"about_ca_topic_score_gemma":0.000006116582,"domain_scores_codex":[0.9988597,0.00007144914,0.0005591398,0.0001156468,0.0001815511,0.0002124868],"domain_scores_gemma":[0.9987437,0.0001542627,0.0002483299,0.0006973281,0.00009055725,0.00006585656],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003459867,0.00008268873,0.000268402,0.0002861609,0.0003747469,0.00001806651,0.01425837,0.0520076,0.7901576,0.001987071,0.0106747,0.12985],"study_design_scores_gemma":[0.001645947,0.0001621645,0.005860448,0.002326972,0.00006214041,0.0004243503,0.006978374,0.4955624,0.4443361,0.003489072,0.03814597,0.001006049],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9618549,0.001563834,0.03094051,0.0009201487,0.0005599897,0.0001574535,0.00000344401,0.001299883,0.002699825],"genre_scores_gemma":[0.9890908,0.002607313,0.008039613,0.0000455502,0.00005012266,0.00001262115,0.000008928642,0.0000428296,0.0001022018],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4435548,"threshold_uncertainty_score":0.6743101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04066941015365591,"score_gpt":0.2591301544023314,"score_spread":0.2184607442486755,"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."}}