{"id":"W2092734062","doi":"10.1109/tits.2012.2213595","title":"Performance Modeling of Safety Messages Broadcast in Vehicular Ad Hoc Networks","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Intelligent Transportation Systems","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":80,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"","keywords":"Computer network; Computer science; Wireless ad hoc network; Vehicular ad hoc network; Handshaking; Network packet; Markov process; Reliability (semiconductor); Broadcast communication network; Transmission (telecommunications); Vehicular communication systems; Dissemination; Distributed computing; Wireless; Telecommunications","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":[0.0004708341,0.0003264772,0.0004507414,0.0003032158,0.00007924729,0.00001955465,0.0001711114,0.0002445909,0.00005266435],"category_scores_gemma":[8.222002e-7,0.0003486763,0.0001824763,0.0005376232,0.00003429836,0.00041513,2.289195e-7,0.0004707809,0.00002961802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001831894,"about_ca_system_score_gemma":0.00001852206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004021229,"about_ca_topic_score_gemma":0.0001205805,"domain_scores_codex":[0.9976912,0.00007099663,0.001051953,0.0002398823,0.0003915669,0.0005544281],"domain_scores_gemma":[0.9992732,0.00006589066,0.00008678719,0.0003238443,0.00008548138,0.0001647647],"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":[0.00007159535,0.0001007936,0.000529221,0.0002626376,0.0001001629,0.000003049263,0.001254559,0.9878359,0.0002355094,0.0000211815,0.000008855465,0.00957656],"study_design_scores_gemma":[0.0003398707,0.0000481495,0.0005914378,0.0004670889,0.00006847643,0.000007533203,0.0004701938,0.9938266,0.003044693,7.601629e-7,0.0008152559,0.0003199533],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3673619,0.00424383,0.6264233,0.000003650679,0.00125712,0.0003981981,0.00003037709,0.0001535838,0.0001280442],"genre_scores_gemma":[0.9932976,0.006106556,0.0002045295,0.000007663649,0.00007859965,0.0001258417,0.00004519411,0.00008026628,0.00005375211],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6262187,"threshold_uncertainty_score":0.9998965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01643707247504742,"score_gpt":0.2163808284764555,"score_spread":0.1999437560014081,"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."}}