{"id":"W4402897149","doi":"10.1109/iwqos61813.2024.10682861","title":"Game-Theoretic Dependent Task Offloading and Resource Pricing in Vehicular Edge Computing","year":2024,"lang":"en","type":"article","venue":"","topic":"Age of Information Optimization","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Task (project management); Edge computing; Enhanced Data Rates for GSM Evolution; Game theory; Resource (disambiguation); Distributed computing; Computer network; Artificial intelligence; Microeconomics; Economics","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":[0.001428951,0.001002654,0.001096601,0.0004993672,0.0006725428,0.001400797,0.001933103,0.001106794,0.001486014],"category_scores_gemma":[0.002002128,0.000439176,0.0006735002,0.0006990533,0.001121346,0.001882498,0.001279641,0.001321995,0.0001241918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001696577,"about_ca_system_score_gemma":0.002281267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008699073,"about_ca_topic_score_gemma":0.007686338,"domain_scores_codex":[0.9988367,0.0005024194,0.00003226349,0.0001455898,0.000200564,0.0002824856],"domain_scores_gemma":[0.9994438,0.0003010484,0.00004798068,0.0000454431,0.00008211044,0.00007951514],"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":[0.00008339387,0.00007917696,0.0004319155,0.00004318778,0.0000311433,0.00009664783,0.00005707745,0.9303437,0.001116938,0.05196116,0.000956888,0.0147988],"study_design_scores_gemma":[0.000005485861,0.000017577,0.00004998977,0.000001843791,0.000004460978,0.00001257693,0.00001579484,0.9910096,0.000157099,0.008487546,0.0002341943,0.000003840391],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05835131,0.0004493078,0.9357512,0.0003924887,0.0001019683,0.00009616057,0.00005403892,0.0001023664,0.004701244],"genre_scores_gemma":[0.9633214,0.0002467443,0.03386196,0.00008684344,0.00003369732,0.00006039497,0.00003671744,0.00002392802,0.002328312],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008699073,"threshold_uncertainty_score":0.01729685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005487776844721996,"score_gpt":0.2150525143063021,"score_spread":0.2095647374615801,"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."}}