{"id":"W2416230292","doi":"10.1145/2903745","title":"Vehicular Networks","year":2016,"lang":"en","type":"review","venue":"ACM Computing Surveys","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Natural Sciences and Engineering Research Council of Canada; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Computer science; Variety (cybernetics); Content delivery; Architecture; Task (project management); Vehicular ad hoc network; Replica; Wireless ad hoc network; Distributed computing; Computer network; Artificial intelligence; Telecommunications; Systems engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005577118,0.0008329719,0.0007074553,0.002200688,0.0006952387,0.002574283,0.00159896,0.001455245,0.0225416],"category_scores_gemma":[0.001816627,0.000286599,0.000443902,0.003060184,0.0003980795,0.002243327,0.001546995,0.001001562,0.0200735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008337704,"about_ca_system_score_gemma":0.001321397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002561236,"about_ca_topic_score_gemma":0.002724218,"domain_scores_codex":[0.9991981,0.0001599491,0.0000586789,0.000117424,0.0003807181,0.00008503049],"domain_scores_gemma":[0.999175,0.0001759884,0.00005475569,0.0001001548,0.0004434122,0.00005062282],"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":[0.00003858262,0.00004026569,0.0006130546,0.002076504,0.00005323741,0.000231662,0.0001324534,0.004107361,0.001306995,0.07808147,0.121988,0.7913304],"study_design_scores_gemma":[0.000004185101,0.00002196223,0.000171332,0.0003473508,0.00001647749,0.0003244867,0.00009281082,0.00116505,0.0003722011,0.007584751,0.9898874,0.00001190561],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.004361189,0.4917364,0.0838817,0.005469515,0.007616393,0.0004748855,0.002195204,0.001674529,0.4025903],"genre_scores_gemma":[0.09531551,0.6685954,0.03151243,0.002419571,0.003328199,0.0003621865,0.007504512,0.0002397986,0.1907225],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.0225416,"threshold_uncertainty_score":0.07540923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02823799123667153,"score_gpt":0.2780323242878214,"score_spread":0.2497943330511498,"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."}}