{"id":"W2945644527","doi":"10.1109/tvt.2019.2916936","title":"On the End-to-End Delay in a One-Way VANET","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"End-to-end principle; Vehicular ad hoc network; End-to-end delay; Wireless ad hoc network; Computer network; Computer science; Probability distribution; Range (aeronautics); Wireless; Telecommunications; Engineering; Mathematics; Statistics; Network packet","routes":{"ca_aff":true,"ca_fund":true,"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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002692697,0.0003500628,0.0003749813,0.0008032246,0.00009651476,0.00002998312,0.000550408,0.0005406037,0.0006220263],"category_scores_gemma":[0.000009670326,0.0003098437,0.000138691,0.001277658,0.00009692891,0.00007755401,0.000004627595,0.001438512,0.002124242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002512786,"about_ca_system_score_gemma":0.00002427772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000314809,"about_ca_topic_score_gemma":0.0005114471,"domain_scores_codex":[0.9980933,0.00006980522,0.0003516811,0.0004739341,0.0003164423,0.0006948068],"domain_scores_gemma":[0.9985884,0.0001849762,0.00003291281,0.001065594,0.00003390377,0.00009417997],"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":[0.00002415044,0.0001140192,0.00002211373,0.00001586795,0.0001054708,0.0000474441,0.00006436409,0.9748486,0.01091117,0.002189308,0.000305135,0.0113524],"study_design_scores_gemma":[0.002183701,0.001025471,0.000411344,0.0004282255,0.0001281327,0.0002541796,0.0002452857,0.7832047,0.1678641,0.003636924,0.03913702,0.001480861],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8896538,0.000147005,0.1038513,0.002310091,0.0006971826,0.0009808928,0.00002277611,0.001039179,0.001297786],"genre_scores_gemma":[0.9983197,0.00006292208,0.0005631183,0.0004617894,0.0000261634,0.0002652705,0.000004357733,0.00009584358,0.0002008127],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1916438,"threshold_uncertainty_score":0.9999354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007975429753616864,"score_gpt":0.1955129421061687,"score_spread":0.1875375123525518,"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."}}