{"id":"W2884221728","doi":"10.1109/jiot.2018.2855718","title":"Reliable and Secure Vehicular Fog Service Provision","year":2018,"lang":"en","type":"article","venue":"IEEE Internet of Things Journal","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; National Science Foundation","keywords":"Computer science; Cloud computing; Vehicular ad hoc network; Reliability (semiconductor); Latency (audio); Computer network; Fog computing; Low latency (capital markets); Computer security; Distributed computing; Wireless; Wireless ad hoc network; Operating system; Telecommunications","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004437971,0.000185624,0.0002435356,0.000104801,0.00005610095,0.0001148792,0.0003093884,0.0001486003,0.0001032813],"category_scores_gemma":[0.00001886179,0.000165534,0.00007252983,0.0001385394,0.00005369647,0.0004700851,0.00006200185,0.0005828907,0.00004768893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006456505,"about_ca_system_score_gemma":0.0000200976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005294842,"about_ca_topic_score_gemma":0.00001713648,"domain_scores_codex":[0.99883,0.00002199101,0.00037293,0.000158112,0.0002947677,0.0003222295],"domain_scores_gemma":[0.9992759,0.00002132923,0.0001263241,0.0001869997,0.0002287281,0.0001606837],"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":[0.0003815062,0.0001909271,0.003864123,0.001352865,0.001298646,0.0005580888,0.02418436,0.4498343,0.2023516,0.0004710243,0.2907424,0.02477013],"study_design_scores_gemma":[0.0005771043,0.0002430461,0.0002189792,0.000749903,0.00005100239,0.001207752,0.00007113108,0.9242524,0.04376572,0.0007935695,0.02780773,0.0002616702],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9860818,0.0009739502,0.009388742,0.0002141005,0.001372655,0.0001093664,9.626839e-7,0.0001084917,0.001749963],"genre_scores_gemma":[0.99475,0.0001139354,0.003925296,0.0003211191,0.0006039708,0.000001701091,0.000001273437,0.00005018505,0.0002325143],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.474418,"threshold_uncertainty_score":0.675028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006312697695088656,"score_gpt":0.2057294253915258,"score_spread":0.1994167276964371,"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."}}