{"id":"W4416582538","doi":"10.1109/tmc.2025.3636717","title":"Joint Trajectory Planning and Task Offloading in UAV-Assisted Inspection Networks: A Transformer-Based Approach","year":2025,"lang":"","type":"article","venue":"IEEE Transactions on Mobile Computing","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Beijing Nova Program; National Natural Science Foundation of China","keywords":"Trajectory; Task (project management); Benchmark (surveying); Process (computing); Task analysis; Optimization problem; Computational complexity theory; Joint (building); Trajectory optimization","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":[0.0005991323,0.0008118315,0.0009733199,0.0005316348,0.0005217763,0.0007934342,0.001680928,0.0008074755,0.002349304],"category_scores_gemma":[0.001256762,0.0004905627,0.0007475438,0.0006654169,0.0006224384,0.001053301,0.001172361,0.0007204799,0.0003521247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001030499,"about_ca_system_score_gemma":0.001652833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01099711,"about_ca_topic_score_gemma":0.01009486,"domain_scores_codex":[0.9995564,0.0001038053,0.0000211543,0.0000927071,0.0001041314,0.0001217218],"domain_scores_gemma":[0.9995025,0.0002369151,0.00006406142,0.00005117881,0.00008689294,0.00005834411],"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":[0.00008218332,0.00005130317,0.0003406944,0.00005263657,0.00002047989,0.00008248389,0.00008233599,0.9504168,0.002658375,0.007050608,0.0007331475,0.03842902],"study_design_scores_gemma":[0.000005370985,0.00001524922,0.00004373504,0.00000230964,0.000003833696,0.000008987034,0.00001911634,0.997758,0.0003755383,0.00150541,0.0002603176,0.000002244769],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01291009,0.00009760106,0.9843264,0.00009525017,0.00001814182,0.00005037784,0.00003522492,0.0002393173,0.00222769],"genre_scores_gemma":[0.7269862,0.000281864,0.2673677,0.00008813906,0.00004529889,0.0002052393,0.0002496836,0.0001611521,0.004614705],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01099711,"threshold_uncertainty_score":0.0218662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01334900972419933,"score_gpt":0.2351697020376657,"score_spread":0.2218206923134664,"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."}}