{"id":"W4403353622","doi":"10.1007/978-3-031-66968-2_49","title":"Delay Mitigation for V2I-Based Cooperative Autonomous Driving Applications","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in mechanical engineering","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Huawei Technologies (Canada); University of Waterloo","funders":"","keywords":"Computer science; Aeronautics; Environmental science; Engineering","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":[0.0002090562,0.0006685492,0.0006093755,0.0003213011,0.00005295477,0.00009687293,0.0002869118,0.0009151344,0.00006730592],"category_scores_gemma":[0.00009821117,0.0007390478,0.0002702271,0.0001666765,0.00002134994,0.0000662705,0.00005284115,0.001378423,0.00005708759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000619043,"about_ca_system_score_gemma":0.00006564179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001578081,"about_ca_topic_score_gemma":0.00007116861,"domain_scores_codex":[0.9980351,0.000006879972,0.0005744525,0.000602923,0.0002315488,0.000549075],"domain_scores_gemma":[0.9986731,0.0006116089,0.00005113727,0.0004379583,0.00007369359,0.0001524699],"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":[0.000003192195,0.000005358116,1.351724e-7,0.0003879762,0.0001082403,0.00002001512,0.00002234057,0.9438594,0.002436193,0.04797367,0.00003522397,0.005148277],"study_design_scores_gemma":[0.000240663,0.00004240055,3.506399e-7,0.0007154829,0.0001103195,0.00001348375,3.866034e-7,0.9389516,0.004374322,0.01160883,0.04325263,0.0006895567],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00004749117,0.002324684,0.9920028,0.0001122641,0.0006776153,0.00145702,0.00007215116,0.001167234,0.002138727],"genre_scores_gemma":[0.875414,0.0002089052,0.1121093,0.0003269757,0.003014666,0.00306087,0.001355388,0.001714413,0.002795464],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8798935,"threshold_uncertainty_score":0.9995061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005683145999759825,"score_gpt":0.2060112237536966,"score_spread":0.2003280777539368,"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."}}