{"id":"W2969442419","doi":"10.1109/mwc.2019.1800539","title":"Guidelines for the Design of Vehicular Cloud Infrastructures for Connected Autonomous Vehicles","year":2019,"lang":"en","type":"article","venue":"IEEE Wireless Communications","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cloud computing; Provisioning; Computer science; TRIPS architecture; Content delivery; Service (business); Scale (ratio); Resource (disambiguation); Resource management (computing); Vehicular ad hoc network; Computer security; Telecommunications; Distributed computing; Computer network; Wireless ad hoc network; Business; Wireless","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":[0.002948626,0.001484785,0.0005806853,0.002278126,0.001987315,0.004620553,0.003667962,0.003799862,0.008979868],"category_scores_gemma":[0.005805534,0.001202611,0.0009319786,0.001594053,0.001048098,0.003826661,0.002666111,0.003014991,0.008052925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002371805,"about_ca_system_score_gemma":0.003960526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008215765,"about_ca_topic_score_gemma":0.01344095,"domain_scores_codex":[0.9967352,0.0009089767,0.00052515,0.0002790831,0.001177212,0.0003742825],"domain_scores_gemma":[0.9969995,0.0004669503,0.0001933412,0.00033945,0.00180111,0.0001996245],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00009627743,0.0002866528,0.001728476,0.001541429,0.00005035173,0.001241798,0.001208168,0.07026758,0.01442046,0.6533248,0.08021204,0.1756219],"study_design_scores_gemma":[0.00005526969,0.0001201705,0.0008072023,0.001323661,0.0000487511,0.0005866292,0.0009029953,0.07894284,0.007597479,0.09405178,0.8154657,0.0000975281],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004504197,0.003821,0.8892066,0.004177878,0.0006676303,0.003965461,0.001377908,0.002525237,0.08975406],"genre_scores_gemma":[0.08221982,0.006935498,0.87328,0.001216631,0.0002055737,0.004222267,0.002148864,0.0007121951,0.0290591],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008979868,"threshold_uncertainty_score":0.03004062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05302029581469684,"score_gpt":0.2910149694481631,"score_spread":0.2379946736334663,"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."}}