{"id":"W2182127781","doi":"10.1016/b978-1-78242-211-2.00010-6","title":"Connected vehicles in an intelligent transport system","year":2015,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Dedicated short-range communications; Software deployment; Wireless; Femtocell; Backhaul (telecommunications); Computer network; Computer science; Intelligent transportation system; Vehicular communication systems; Latency (audio); Wireless network; Telecommunications; Vehicular ad hoc network; Transport engineering; Engineering; Wireless ad hoc network; Base station","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":[0.0004050068,0.0006610342,0.0008878164,0.0002697525,0.00003202692,0.0000347174,0.0004209396,0.0006820853,0.00007394528],"category_scores_gemma":[0.000003282057,0.0007022919,0.000190324,0.00002880677,0.0000692812,0.00007047573,0.0000337981,0.0009059641,0.0002547917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005958059,"about_ca_system_score_gemma":0.00009212118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001527567,"about_ca_topic_score_gemma":0.0006205995,"domain_scores_codex":[0.9977195,0.00003755389,0.0007788297,0.0004959431,0.0004316731,0.0005364998],"domain_scores_gemma":[0.9986676,0.00003153685,0.00009687019,0.0007509617,0.0001133492,0.0003396848],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003270902,0.00001320546,0.00003897508,0.0008205518,0.000242797,0.0009032401,0.0007425308,0.1182013,0.00006616826,0.00796991,0.0002333324,0.8707353],"study_design_scores_gemma":[0.0004837225,0.00008219535,0.00004749898,0.001967397,0.0001509991,0.00007697507,0.0000438998,0.04021888,0.00007222519,0.001038893,0.9546862,0.00113113],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004325143,0.005107045,0.00005311347,0.000003980217,0.0007583341,0.0009057237,0.00005594789,0.0009013682,0.9878893],"genre_scores_gemma":[0.3813038,0.0001508624,0.000307628,0.00004909992,0.0008512033,0.0001186611,0.0003488044,0.0006439326,0.616226],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9544529,"threshold_uncertainty_score":0.9995428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02117573216703728,"score_gpt":0.2214456028160992,"score_spread":0.2002698706490619,"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."}}