{"id":"W6986433112","doi":"","title":"Performance Modeling and Optimization of Connected and Autonomous Vehicles with Reliable Wireless Connectivity","year":2023,"lang":"en","type":"other","venue":"York University Digital Library (York University)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Base station; Traffic flow (computer networking); Wireless; Aggregate (composite); Traffic model; Flow (mathematics); Telecommunications network; Flow network","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":[0.0005140489,0.0008059826,0.000525039,0.0004942198,0.0003580507,0.00114561,0.0008084155,0.000802828,0.001565338],"category_scores_gemma":[0.00158231,0.0004469736,0.000428669,0.0005572995,0.0008415451,0.0007459359,0.0006280483,0.0005485023,0.0002564444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001792095,"about_ca_system_score_gemma":0.001184767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02018652,"about_ca_topic_score_gemma":0.0088616,"domain_scores_codex":[0.9996761,0.00009558261,0.000007470262,0.00006378016,0.00008191606,0.00007518603],"domain_scores_gemma":[0.9995714,0.0001980784,0.00008095708,0.00001904327,0.00009904776,0.00003161855],"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":[0.000006622252,0.000005271926,0.0001484884,0.000004811023,0.000003410424,0.00001225237,0.000006140976,0.9962682,0.000229393,0.002317536,0.0001514922,0.0008463264],"study_design_scores_gemma":[8.888103e-7,0.000004787025,0.00006020126,7.871164e-7,0.000001167972,0.000001592717,0.000003914799,0.9991041,0.00003848881,0.0007072297,0.00007583687,9.773072e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3197758,0.0008571631,0.6304406,0.001667851,0.0001128157,0.000105364,0.0004734237,0.000374409,0.04619255],"genre_scores_gemma":[0.9881633,0.0002959121,0.005913625,0.00003437392,0.00002274772,0.00004677796,0.0001003055,0.00003573951,0.005387285],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02018652,"threshold_uncertainty_score":0.04013801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009065981384241655,"score_gpt":0.1481040872307088,"score_spread":0.1390381058464671,"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."}}