{"id":"W2023005004","doi":"10.1515/jmc.2009.021","title":"An efficient identification protocol secure against concurrent-reset attacks","year":2009,"lang":"en","type":"article","venue":"Journal of Mathematical Cryptology","topic":"Cryptography and Data Security","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Reset (finance); Computer science; Identification (biology); Protocol (science); Simple (philosophy); Cryptographic protocol; Computer security; Theoretical computer science; Cryptography; Medicine","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":[0.001096334,0.0001741744,0.0004025313,0.0002404028,0.0001063081,0.0001848667,0.001298902,0.0001425963,0.00003097638],"category_scores_gemma":[0.0002395702,0.00013215,0.0001836957,0.0003619183,0.00007028955,0.0005175514,0.00007207611,0.0004077421,0.00004820833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002983863,"about_ca_system_score_gemma":0.00008038004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":1.444077e-7,"about_ca_topic_score_gemma":3.879574e-7,"domain_scores_codex":[0.9977298,0.0002395468,0.0009542609,0.0002623564,0.0004984522,0.0003155967],"domain_scores_gemma":[0.9980857,0.0001132767,0.0006326697,0.0005917173,0.0003161658,0.000260497],"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":[0.00004408315,0.001504799,0.00004205913,0.00006773228,0.00002230366,0.00007125477,0.0009055814,0.0001420168,0.002336982,0.9753726,0.002296087,0.0171945],"study_design_scores_gemma":[0.003142465,0.002396944,0.002576404,0.0002130984,0.0000523623,0.001173786,0.0003849707,0.1027813,0.004338589,0.8758895,0.006465905,0.0005846058],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02878214,0.00001883782,0.96452,0.001446252,0.0002435807,0.004479948,0.000006329007,0.00005291589,0.0004500055],"genre_scores_gemma":[0.9301125,0.000002431631,0.06884186,0.000394576,0.00018995,0.0004456081,0.000004789956,0.000007386163,9.32324e-7],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9013304,"threshold_uncertainty_score":0.5388922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01681584144669115,"score_gpt":0.3360632588257027,"score_spread":0.3192474173790115,"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."}}