{"id":"W2949405227","doi":"10.48550/arxiv.1010.1438","title":"Coalition Formation Games for Distributed Cooperation Among Roadside Units in Vehicular Networks","year":2010,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Norges Forskningsråd; National Science Foundation","keywords":"Computer science; Partition (number theory); Scheme (mathematics); Stochastic game; Computer network; Vehicular ad hoc network; Work (physics); Operations research; Wireless ad hoc network; Telecommunications; Wireless; Engineering; Microeconomics","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":[0.0001676204,0.000199659,0.0001988043,0.0002184215,0.00007909421,0.00004780504,0.0001541043,0.0004380086,0.00001857471],"category_scores_gemma":[0.00003400231,0.0002631688,0.00006761896,0.000602687,0.00004671785,0.0003754328,0.00002293956,0.0005375928,0.000003256488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001752893,"about_ca_system_score_gemma":0.00004984112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000886877,"about_ca_topic_score_gemma":0.003937809,"domain_scores_codex":[0.9991525,0.00002966428,0.0002999199,0.0002768464,0.00003822723,0.0002028215],"domain_scores_gemma":[0.9991992,0.00004687939,0.00009134931,0.0002880598,0.0003159184,0.00005855348],"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":[0.00001435675,0.0000220549,0.00280141,0.00008372297,0.00002484225,0.000005055302,0.0001088691,0.9816561,0.000128115,0.01483577,0.000210016,0.0001096359],"study_design_scores_gemma":[0.0005892289,0.00001049132,0.02368177,0.00007849261,0.000055455,4.187222e-7,0.0001159108,0.9731793,0.0003492812,0.001036001,0.0006432136,0.0002603937],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5070959,0.000008180105,0.4918693,0.00001429016,0.0002279195,0.0004395306,0.0001257295,0.000161694,0.00005749739],"genre_scores_gemma":[0.9916664,0.00007039708,0.0001438639,0.00001895893,0.00005097575,0.00002036486,0.007955015,0.00002265511,0.00005134615],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4917254,"threshold_uncertainty_score":0.9999821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04053859063522432,"score_gpt":0.1711244409200941,"score_spread":0.1305858502848697,"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."}}