{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008654566,0.0002807383,0.0003875101,0.0002465725,0.0002618756,0.000287387,0.001205247,0.0001759565,0.000003011548],"category_scores_gemma":[0.00003631106,0.0002851333,0.0001347662,0.001807529,0.00006160523,0.0003376814,0.0007978781,0.0006205643,0.00001676304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000184403,"about_ca_system_score_gemma":0.0001256789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000051864,"about_ca_topic_score_gemma":0.00003360464,"domain_scores_codex":[0.9974729,0.0001917472,0.0004913966,0.0008244762,0.0002273448,0.0007920695],"domain_scores_gemma":[0.9985206,0.0002587728,0.0001179974,0.0009211563,0.00007259002,0.0001088945],"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":[0.00007691236,0.0007672865,0.01430138,0.0002486259,0.0001432368,0.0001836271,0.002810277,0.100223,0.000158377,0.01223822,0.02616505,0.842684],"study_design_scores_gemma":[0.0007205263,0.00003173385,0.006153245,0.00015792,0.000009059179,0.000007570209,0.0000541708,0.9745616,0.00002249054,0.0005657779,0.01740907,0.00030686],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04417482,0.002583832,0.9327993,0.0002736283,0.006066923,0.0004399407,4.092467e-7,0.0004261347,0.01323504],"genre_scores_gemma":[0.9802807,0.00004428035,0.01641311,0.000764008,0.0008629357,0.00005130436,0.00001604696,0.00002215243,0.001545468],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9361058,"threshold_uncertainty_score":0.9999601,"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."}}