{"id":"W4412721420","doi":"10.1016/j.adhoc.2025.103956","title":"Mobility-aware task offloading in UAV-MEC-assisted IoV: A two-stage approach","year":2025,"lang":"en","type":"article","venue":"Ad Hoc Networks","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Fundamental Research Funds for the Central Universities; Huaqiao University; National Natural Science Foundation of China","keywords":"Computer science; Task (project management); Stage (stratigraphy); Human–computer interaction; Real-time computing; Engineering; Systems engineering; Geology","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":[0.0002919103,0.0008399556,0.0009745354,0.0003580356,0.000771852,0.0008979586,0.00122486,0.000685489,0.001684563],"category_scores_gemma":[0.0007160113,0.0002774915,0.0004852352,0.0003628359,0.0004032793,0.001010244,0.001186973,0.0004718232,0.0002866944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000291018,"about_ca_system_score_gemma":0.001150999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003558246,"about_ca_topic_score_gemma":0.007577718,"domain_scores_codex":[0.9996208,0.00004207955,0.00001615823,0.00007765566,0.00008244963,0.0001608019],"domain_scores_gemma":[0.9997292,0.00007520802,0.00002007875,0.00004714151,0.0000870491,0.00004138507],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001051853,0.0005784672,0.004058569,0.0004449079,0.0001569659,0.001088242,0.0006528406,0.375754,0.1424288,0.0138863,0.007086031,0.4528131],"study_design_scores_gemma":[0.0000140358,0.0001661849,0.0008755778,0.00001712759,0.00003208227,0.0002208565,0.000170997,0.9876158,0.006905569,0.002345666,0.001613131,0.00002297527],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1142409,0.002200712,0.8658497,0.0004629346,0.0005354586,0.00034516,0.0001055157,0.000945325,0.01531432],"genre_scores_gemma":[0.9359373,0.0003600391,0.05788802,0.0001128015,0.00008874689,0.0000713621,0.00009959598,0.00003896636,0.005403099],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003558246,"threshold_uncertainty_score":0.007075071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01426722219673142,"score_gpt":0.2576556279263997,"score_spread":0.2433884057296683,"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."}}