{"id":"W2769907353","doi":"10.1109/access.2017.2777963","title":"On the Analytical Calculation of the Probability Distribution of End-to-End Delay in a Two-Way Highway VANET","year":2017,"lang":"en","type":"article","venue":"IEEE Access","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Correctness; Computer science; Vehicular ad hoc network; Probability distribution; End-to-end principle; Range (aeronautics); Frame (networking); Coverage probability; Wireless ad hoc network; Transmission (telecommunications); Transmission delay; Reference frame; Algorithm; Computer network; Telecommunications; Mathematics; Confidence interval; Statistics; Engineering; Wireless","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":[0.001802303,0.0008655253,0.0008919491,0.001814695,0.0005333735,0.001194111,0.001148886,0.0007385042,0.001639598],"category_scores_gemma":[0.01064954,0.0005278292,0.0007405342,0.001894727,0.00116196,0.001875479,0.0007476207,0.001159448,0.0004374848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001536528,"about_ca_system_score_gemma":0.00098246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005316256,"about_ca_topic_score_gemma":0.002475609,"domain_scores_codex":[0.9989358,0.0002718928,0.00005501977,0.0001833258,0.0004163522,0.0001376679],"domain_scores_gemma":[0.9951164,0.00357394,0.0003634742,0.0002133248,0.0006770507,0.00005585077],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002758285,0.0000165236,0.0006827509,0.00006614378,0.00001990441,0.0001120882,0.00005668081,0.9544038,0.001243573,0.03428935,0.0004266373,0.008654954],"study_design_scores_gemma":[0.000001649751,0.00001343084,0.0002029972,0.00001424666,0.000005757095,0.00009147735,0.0000175189,0.9911599,0.0005365376,0.007355937,0.0005900026,0.0000106963],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01441955,0.0009674495,0.9805345,0.0001832966,0.00006680175,0.00004270218,0.0000781756,0.0002223264,0.003485197],"genre_scores_gemma":[0.8670429,0.005118358,0.1214863,0.0002158788,0.0002076261,0.0001777996,0.0002625286,0.0002005138,0.005288054],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005316256,"threshold_uncertainty_score":0.01114839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02612731761832853,"score_gpt":0.2903963534583142,"score_spread":0.2642690358399857,"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."}}