{"id":"W4220913602","doi":"10.5539/cis.v15n2p68","title":"Multi-Issuer Attribute-based Anonymous Credential with Traceability and Revocation","year":2022,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Cryptography and Data Security","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Credential; Issuer; Revocation; Computer science; Computer security; Traceability; Certification; Password; Scheme (mathematics); Revocation list; Anonymity; Service (business); Certificate; Computer network; Certificate authority; Overhead (engineering); Business; Public-key cryptography; Theoretical computer science; Software engineering; Encryption; Operating system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009183857,0.0000907466,0.00008994087,0.0002485923,0.0009200133,0.0005940328,0.0005411627,0.00001536289,0.00001141003],"category_scores_gemma":[0.00001580534,0.0000789972,0.00001644416,0.001054102,0.0003156274,0.007229197,0.000498794,0.0001123921,0.000002297623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002993847,"about_ca_system_score_gemma":0.0001315213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002094344,"about_ca_topic_score_gemma":0.000002769369,"domain_scores_codex":[0.9988334,0.00004357378,0.0002036561,0.0002690741,0.0004669565,0.0001833621],"domain_scores_gemma":[0.9992417,0.00004021737,0.000100133,0.0003555649,0.000151994,0.0001104547],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002219277,0.0008793576,0.06193132,0.0003325165,0.00002951073,0.00001217178,0.03566873,0.01302845,0.0008102538,0.2376852,0.00339226,0.6460083],"study_design_scores_gemma":[0.0007273527,0.0002415321,0.1574269,0.000005168023,0.000002930703,0.00004227782,0.00009668728,0.8323706,0.0002373435,0.0001984587,0.008482044,0.0001687351],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1592775,0.00003128649,0.8399159,0.0002660635,0.0001654485,0.000174119,0.00001744562,0.0000973451,0.00005487464],"genre_scores_gemma":[0.8665119,0.000005304308,0.1327727,0.000660409,0.00001319026,0.00001620784,0.00001824756,0.00000112651,8.220622e-7],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8193421,"threshold_uncertainty_score":0.7076092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01129527296003502,"score_gpt":0.2297216164156019,"score_spread":0.2184263434555669,"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."}}