{"id":"W3137643240","doi":"10.1109/comst.2021.3108466","title":"Applications of Game Theory in Vehicular Networks: A Survey","year":2021,"lang":"en","type":"preprint","venue":"IEEE Communications Surveys & Tutorials","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Computer science; Key (lock); Game theory; Service (business); Quality of service; Intelligent transportation system; Internet of Things; Computer security; Computer network; Transport engineering; Engineering; Business","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":[0.001905143,0.001624528,0.001800493,0.00276598,0.0008063643,0.003816888,0.001889111,0.002209823,0.003327592],"category_scores_gemma":[0.004157766,0.0007784238,0.001615289,0.005168258,0.001662878,0.003989193,0.001729655,0.002666031,0.001184063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002165411,"about_ca_system_score_gemma":0.001923434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005500751,"about_ca_topic_score_gemma":0.003436536,"domain_scores_codex":[0.9977862,0.0009975524,0.000184796,0.0002625078,0.000616418,0.000152544],"domain_scores_gemma":[0.997566,0.001889852,0.00008745881,0.0001084102,0.0002875664,0.00006087736],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005038668,0.0001501985,0.002472495,0.003535528,0.0001866498,0.0004573233,0.0005879017,0.05013053,0.0005443256,0.6357859,0.0200915,0.2860073],"study_design_scores_gemma":[0.00002156831,0.0001266177,0.001264001,0.001705738,0.00008108873,0.0008724863,0.0007431263,0.1124114,0.0003907683,0.5639891,0.3182925,0.0001016937],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.006168861,0.5701936,0.3366073,0.004898779,0.002055747,0.0002128525,0.0003906544,0.0001766748,0.07929558],"genre_scores_gemma":[0.1411198,0.7720268,0.07078667,0.001527394,0.003453438,0.0003149477,0.000709663,0.0001332263,0.009928038],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005500751,"threshold_uncertainty_score":0.01571119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04099991965339903,"score_gpt":0.2954932913067478,"score_spread":0.2544933716533488,"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."}}