{"id":"W2559815877","doi":"10.1145/2991079.2991106","title":"The cloudier side of cryptographic end-to-end verifiable voting","year":2016,"lang":"en","type":"article","venue":"","topic":"Internet Traffic Analysis and Secure E-voting","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Cryptography; Electronic voting; Computer security; Verifiable secret sharing; Computer science; Cryptographic primitive; Cryptographic protocol; Voting; Audit; Anonymity; Trustworthiness; Internet privacy; Computer network; Business; Political science; Accounting; Programming language","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":[0.0007491012,0.0001225765,0.0001801366,0.00008902766,0.0001811725,0.0001064534,0.0009569718,0.00003888499,0.0001072932],"category_scores_gemma":[0.0001093732,0.00005897722,0.0001632888,0.0004547929,0.00007536796,0.0001747708,0.0002657092,0.00007442095,0.00009309299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001673221,"about_ca_system_score_gemma":0.00003149131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005024456,"about_ca_topic_score_gemma":0.0002062971,"domain_scores_codex":[0.998584,0.00006551229,0.0003513651,0.0003124791,0.0003199129,0.0003667288],"domain_scores_gemma":[0.9989837,0.000375602,0.0001179093,0.0003061945,0.0001341918,0.00008238801],"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":[0.00000343366,0.00001538128,0.0002587057,0.000002804347,0.00005545634,0.000002161133,0.0002760771,0.000254865,0.001460514,0.9546685,0.001146276,0.0418558],"study_design_scores_gemma":[0.001010058,0.0004141384,0.00324496,0.0003278498,0.00007329229,0.00002253628,0.0005726588,0.8676153,0.02528385,0.001511324,0.09892255,0.001001504],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05577154,0.00008696583,0.9310935,0.001516973,0.000305953,0.00007477151,7.559428e-7,0.0000850846,0.01106446],"genre_scores_gemma":[0.9901533,0.00001119882,0.007617594,0.0002220998,0.00007656395,0.000004527269,1.469526e-7,0.000007071399,0.001907506],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9531572,"threshold_uncertainty_score":0.2405021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01090257018351806,"score_gpt":0.2250588127784436,"score_spread":0.2141562425949255,"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."}}