{"id":"W4392175289","doi":"10.1109/globecom54140.2023.10436995","title":"Secure Integrated Sensing and Communication Aided by IRS-UAV","year":2023,"lang":"en","type":"article","venue":"","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Computer science","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":[0.00005211559,0.00005141509,0.00004723267,0.00004023582,0.00005564557,0.00003158517,0.00003722904,0.00004062409,0.00002661816],"category_scores_gemma":[0.000006607631,0.00004929243,0.000006995638,0.0002835218,0.00001256671,0.00005838216,0.00001614253,0.00005795659,0.00004309016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001685571,"about_ca_system_score_gemma":0.000002570726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004977886,"about_ca_topic_score_gemma":0.00004950498,"domain_scores_codex":[0.9997494,0.000007982377,0.0000798182,0.00005963094,0.00003274498,0.00007042428],"domain_scores_gemma":[0.9997709,0.00002886652,0.000008073978,0.0001457405,0.00002381736,0.0000225891],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000007164256,0.00002806838,0.0007654775,0.0001009019,0.00009176519,0.000001392281,0.002302269,0.1095052,0.06173836,0.009279889,0.6092651,0.2069144],"study_design_scores_gemma":[0.00009166403,0.000002719919,0.000227843,0.000008389104,0.000004214421,0.0000012862,0.0002298224,0.9687056,0.002159429,0.0002716426,0.02822202,0.00007539095],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4133352,0.0006211423,0.548089,0.001270583,0.00008546271,0.0004036623,0.00002894512,0.003464229,0.0327017],"genre_scores_gemma":[0.9879355,0.0005392929,0.01045714,0.00004138875,0.000007270005,0.000006148596,0.0003072043,0.0000184247,0.0006875799],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8592004,"threshold_uncertainty_score":0.2010087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004355938639514274,"score_gpt":0.1855906299959035,"score_spread":0.1812346913563892,"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."}}