{"id":"W4394938938","doi":"10.1109/tvt.2024.3390693","title":"Precoding and Trajectory Design for UAV-Assisted Integrated Communication and Sensing Systems","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"National Natural Science Foundation of China","keywords":"Precoding; Trajectory; Computer science; Electronic engineering; Zero-forcing precoding; Engineering; MIMO; Physics; Beamforming","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":[0.0004680036,0.0008347781,0.0005932483,0.0002833642,0.0003196839,0.0007807688,0.0005532873,0.0007636849,0.00161],"category_scores_gemma":[0.001241613,0.0003324096,0.0004265284,0.0005141094,0.0005206616,0.0006580445,0.0006481092,0.0007344538,0.000413855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005451088,"about_ca_system_score_gemma":0.001133808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004066766,"about_ca_topic_score_gemma":0.003034289,"domain_scores_codex":[0.99957,0.000110697,0.00002057566,0.0001090725,0.0001405648,0.00004909337],"domain_scores_gemma":[0.9995506,0.0001716497,0.00008672789,0.00003148869,0.0001403308,0.00001909929],"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":[0.00006023299,0.00002414945,0.0003910141,0.0001003348,0.00002637102,0.0001175827,0.0001047105,0.9362617,0.006653039,0.01665378,0.0008283861,0.0387787],"study_design_scores_gemma":[0.000006331186,0.00004022108,0.00007014033,0.000005993829,0.000004521675,0.00002042205,0.00001130328,0.9967887,0.0006244943,0.001774599,0.0006487885,0.000004426875],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0061953,0.0001808611,0.991301,0.00007477523,0.00002281527,0.00002517118,0.0000323393,0.00008893533,0.002078761],"genre_scores_gemma":[0.7813405,0.0008844264,0.2104551,0.0001084726,0.00006812177,0.0003227468,0.0002718447,0.00005401409,0.006494732],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004066766,"threshold_uncertainty_score":0.008086205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01607255637161965,"score_gpt":0.2209449553400472,"score_spread":0.2048723989684275,"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."}}