{"id":"W3114954144","doi":"10.1109/iemcon51383.2020.9284953","title":"State-of-the-Art VANET Trust Models: Challenges and Recommendations","year":2020,"lang":"en","type":"article","venue":"","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University of Edmonton","funders":"","keywords":"Computer science; Vehicular ad hoc network; Popularity; Computer security; Trust management (information system); Architecture; State (computer science); Blockchain; Wireless ad hoc network; Zero (linguistics); Computational trust; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007213202,0.0008868978,0.001014621,0.001618319,0.001319871,0.005401147,0.003824702,0.002927827,0.00418857],"category_scores_gemma":[0.01319493,0.0006679989,0.0008641672,0.002174543,0.002305172,0.01980094,0.002766109,0.004428347,0.001683489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003122832,"about_ca_system_score_gemma":0.002858302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008498604,"about_ca_topic_score_gemma":0.007681179,"domain_scores_codex":[0.9964398,0.001534392,0.000300853,0.0003504297,0.00112108,0.000253458],"domain_scores_gemma":[0.9882467,0.005945507,0.0006339056,0.0008857065,0.003588156,0.0006999396],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001347294,0.000164071,0.002935428,0.001999011,0.0001230442,0.0002851734,0.000863264,0.05483296,0.000673866,0.4686184,0.04025277,0.4291172],"study_design_scores_gemma":[0.00004506706,0.000174456,0.0007957875,0.00312746,0.00009994103,0.0005157539,0.003363156,0.2595741,0.001296056,0.4471542,0.2836931,0.0001609244],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.0205748,0.3548647,0.4239695,0.1543809,0.003833439,0.0002332193,0.0003728848,0.001042436,0.04072811],"genre_scores_gemma":[0.4766234,0.3820892,0.1175291,0.004478363,0.002804251,0.0003309753,0.0008869388,0.0002148237,0.01504295],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.008498604,"threshold_uncertainty_score":0.03814751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02908606519438636,"score_gpt":0.20652825713781,"score_spread":0.1774421919434236,"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."}}