{"id":"W4384009799","doi":"10.1109/icbc56567.2023.10174895","title":"vPass: Publicly Verifiable Fair Exchange Protocol for Vehicle Passports","year":2023,"lang":"en","type":"article","venue":"","topic":"Cryptography and Data Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; University of Victoria","funders":"","keywords":"Computer security; Computer science; Discrete logarithm; Encryption; ElGamal encryption; Zero-knowledge proof; Trusted third party; Confidentiality; Adversary; Verifiable secret sharing; Protocol (science); Public-key cryptography; Cryptography","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":[0.003645888,0.0005030418,0.0008286427,0.000714387,0.001603585,0.002446537,0.00232621,0.002003426,0.006027257],"category_scores_gemma":[0.008416877,0.0004899584,0.000745663,0.000875396,0.002841795,0.005295434,0.005524704,0.002381037,0.001229572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001620618,"about_ca_system_score_gemma":0.003758831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00229771,"about_ca_topic_score_gemma":0.001455622,"domain_scores_codex":[0.9962683,0.001203996,0.000221728,0.0005045012,0.001312957,0.0004884708],"domain_scores_gemma":[0.9962358,0.001383059,0.0004243126,0.001216051,0.0004834682,0.0002573626],"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":[0.000794727,0.0001280834,0.0008951877,0.0002949127,0.0000993946,0.001146065,0.001235892,0.07280338,0.01135242,0.8229863,0.01186549,0.07639813],"study_design_scores_gemma":[0.0004483354,0.0003746435,0.000521211,0.0001364911,0.00009120211,0.0005409098,0.0003110004,0.3907774,0.02468136,0.488406,0.09355538,0.0001560556],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0392435,0.0003554431,0.942322,0.001495088,0.0002567324,0.0007330196,0.0005680425,0.002672194,0.01235394],"genre_scores_gemma":[0.8797653,0.0003917347,0.1045445,0.0003910901,0.0001117952,0.0008574948,0.000895437,0.0001979411,0.01284468],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006027257,"threshold_uncertainty_score":0.02016318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04643280499336127,"score_gpt":0.3151212848564187,"score_spread":0.2686884798630574,"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."}}