{"id":"W2170725593","doi":"10.1109/vetecf.2010.5594542","title":"The Mobility Impact in IEEE 802.11p Infrastructureless Vehicular Networks","year":2010,"lang":"en","type":"article","venue":"","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer network; Computer science; IEEE 802.11p; Vehicular ad hoc network; Wireless ad hoc network; Quality of service; Mobile ad hoc network; Network topology; Mobility model; Network performance; IEEE 802.11; Wireless network; 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":[],"consensus_categories":[],"category_scores_codex":[0.0005980385,0.000294536,0.0002598847,0.00005238402,0.0001101684,0.0001226586,0.0004482859,0.0003088932,0.000180406],"category_scores_gemma":[0.00003679385,0.000195134,0.0001474932,0.0003714041,0.0001019851,0.0001481832,0.0000519594,0.001370583,0.0000330289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001070627,"about_ca_system_score_gemma":0.00003105558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001307318,"about_ca_topic_score_gemma":0.002976615,"domain_scores_codex":[0.9983662,0.00005473262,0.0003519322,0.0002578577,0.0002163903,0.0007528626],"domain_scores_gemma":[0.9987726,0.0001846644,0.00003187074,0.0007926579,0.00004093859,0.0001772177],"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":[0.000007843978,0.00001233562,0.006342364,0.000006687461,0.00003272981,0.00001203151,0.00003001524,0.9820836,0.001646665,0.0001822071,0.002239835,0.007403693],"study_design_scores_gemma":[0.0002585277,0.00001427743,0.07224475,0.000007759578,0.000007556077,0.00002175035,0.00001373522,0.9226298,0.0005100874,0.0004231732,0.003628552,0.0002399747],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9885484,0.0003609933,0.007020112,0.0000411013,0.001408547,0.0003537888,0.000002733631,0.000335616,0.001928733],"genre_scores_gemma":[0.9990177,0.00007908263,0.0003139232,0.00004623127,0.0003929219,0.00003563337,0.000008287878,0.00005684616,0.00004933863],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06590239,"threshold_uncertainty_score":0.7957335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002611989491825406,"score_gpt":0.2072066947303523,"score_spread":0.2045947052385269,"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."}}