{"id":"W3194913366","doi":"10.1109/access.2021.3107467","title":"RTEAM: Risk-Based Trust Evaluation Advanced Model for VANETs","year":2021,"lang":"en","type":"article","venue":"IEEE Access","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Action (physics); Reliability (semiconductor); Communication source; Key (lock); Computer security; Event (particle physics); Vehicular ad hoc network; Wireless ad hoc network; Process (computing); Trust management (information system); Risk analysis (engineering); Wireless; Computer network; Business; Telecommunications","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":[],"consensus_categories":[],"category_scores_codex":[0.0003434997,0.0002022337,0.0002226882,0.00004862951,0.00009213821,0.0001127311,0.0002870477,0.0001263855,0.00007996199],"category_scores_gemma":[0.00009940664,0.0002276256,0.0001107459,0.0002442889,0.00001472528,0.0003859767,0.00002169679,0.000187838,0.0000213922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001545448,"about_ca_system_score_gemma":0.000123468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006950878,"about_ca_topic_score_gemma":0.0002005288,"domain_scores_codex":[0.9986519,0.00005338564,0.0002584468,0.0003176595,0.0003324515,0.0003862147],"domain_scores_gemma":[0.9990302,0.0001087782,0.00006504285,0.0004558968,0.0002402803,0.0000998015],"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":[0.00001714072,0.00002352577,0.0001828595,0.00006043945,0.0000386238,0.000004669676,0.00003638504,0.9700999,0.001757067,0.00001424726,0.003850708,0.02391444],"study_design_scores_gemma":[0.001355536,0.00001249979,0.0003934496,0.0000366324,0.0001066444,0.000002397253,0.000006256616,0.9764879,0.0188651,0.0009742561,0.001488191,0.0002711777],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4950333,0.0007042392,0.5017806,0.00005213673,0.0008438566,0.0005659172,0.00005202477,0.0002803679,0.0006874655],"genre_scores_gemma":[0.9924859,0.00006414959,0.006417246,0.0001465434,0.0002173056,0.0003177781,0.0001553633,0.00007889405,0.0001168421],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4974525,"threshold_uncertainty_score":0.9282303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03413689803348756,"score_gpt":0.3039562970723951,"score_spread":0.2698193990389076,"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."}}