{"id":"W4403600563","doi":"10.1109/twc.2024.3479709","title":"Delay-Aware UAV Computation Offloading and Communication Assistance for Post-Disaster Rescue","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Key Industry Innovation Chain of Shaanxi; National Natural Science Foundation of China","keywords":"Computer science; Wireless; Computer network; Computation offloading; Computation; Computer security; Embedded system; Real-time computing; Internet of Things; Edge computing; Telecommunications","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":[0.0001774938,0.0002014623,0.0001722982,0.0002449341,0.0006341771,0.0002172736,0.0003828866,0.0001307608,0.00001548121],"category_scores_gemma":[0.000003008034,0.0002262573,0.00008874241,0.0004423535,0.0001322808,0.0004029644,0.00000633644,0.0003364226,0.00002763448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001467317,"about_ca_system_score_gemma":0.00003439753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003656971,"about_ca_topic_score_gemma":0.0004333906,"domain_scores_codex":[0.9990034,0.00006708999,0.0003735001,0.0002438746,0.0001176798,0.0001945031],"domain_scores_gemma":[0.9982224,0.0004889822,0.00003296132,0.001002138,0.0001761731,0.00007741799],"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":[0.00005177606,0.0003052038,0.00001269424,0.0005464636,0.0003406047,7.868716e-7,0.003815338,0.6466175,0.007555421,0.0170205,0.001641218,0.3220925],"study_design_scores_gemma":[0.0002549623,0.00003529341,0.00007512173,0.0002069734,0.00008415286,0.000009951487,0.0003169482,0.9933872,0.001126103,0.0003944687,0.003852283,0.0002566063],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01785568,0.001412874,0.9771009,0.001215043,0.0001906222,0.000648082,0.0002736422,0.0007629754,0.0005402025],"genre_scores_gemma":[0.9690582,0.002273922,0.0273323,0.0000715173,0.00001944667,0.0007846709,0.0002344913,0.00007650369,0.0001490185],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9512025,"threshold_uncertainty_score":0.9226503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01822298857839267,"score_gpt":0.262175015840054,"score_spread":0.2439520272616613,"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."}}