{"id":"W2949982555","doi":"","title":"Anonymity in Shared Symmetric Key Primitives.","year":2009,"lang":"en","type":"preprint","venue":"IACR Cryptology ePrint Archive","topic":"Internet Traffic Analysis and Secure E-voting","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Anonymity; Computer science; Key (lock); Context (archaeology); Set (abstract data type); Scheme (mathematics); Symmetric-key algorithm; Computer security; Theoretical computer science; Public-key cryptography; Mathematics; Programming language; Encryption","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":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0009463336,0.0006419785,0.001199087,0.00141608,0.0001134253,0.0002561942,0.003168219,0.0005365784,0.00007952796],"category_scores_gemma":[0.0003979177,0.0006448643,0.0005589353,0.0007217735,0.0002161764,0.0001949534,0.003765349,0.002438573,0.0002248385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000224986,"about_ca_system_score_gemma":0.0003393347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008174965,"about_ca_topic_score_gemma":0.0004805359,"domain_scores_codex":[0.9948246,0.000806781,0.001053981,0.001909117,0.0004507119,0.0009547795],"domain_scores_gemma":[0.9974526,0.0005759819,0.0005706065,0.001038179,0.0001516375,0.0002109948],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002285055,0.0002331518,0.001523511,0.00004281498,0.0001310494,0.0003777604,0.003300206,0.007246758,0.00002183716,0.971745,0.0003536592,0.01500143],"study_design_scores_gemma":[0.0007613197,0.0001362961,0.07643401,0.0003373617,0.00005727253,0.00007532006,0.00009205483,0.6397933,0.0001244107,0.2803599,0.0007500785,0.001078743],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07448682,0.0003367178,0.9100031,0.001064626,0.000670347,0.0005082801,0.0000202551,0.0002559667,0.01265385],"genre_scores_gemma":[0.6831983,0.0000861302,0.3160574,0.0004022544,0.0001275052,0.00004851782,0.00005564731,0.00001927908,0.000004934411],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6913851,"threshold_uncertainty_score":0.9998628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01772587256343719,"score_gpt":0.2588967836544063,"score_spread":0.2411709110909691,"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."}}