{"id":"W4387217231","doi":"10.59720/21-240","title":"Design and implementation of a cryptographically secure electronic voting infrastructure","year":2022,"lang":"en","type":"article","venue":"Journal of Emerging Investigators","topic":"Internet Traffic Analysis and Secure E-voting","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Division of Mathematical Sciences; York University","keywords":"Electronic voting; Computer security; NIST; Cryptography; Voting; Computer science; Confidentiality; Encryption; Internet privacy; Law","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008785094,0.0003419718,0.0002986829,0.0005516583,0.0005862681,0.001359747,0.001851582,0.001021246,0.002773625],"category_scores_gemma":[0.001522577,0.0004579803,0.0004251435,0.0002266314,0.0005730166,0.001350629,0.00112691,0.001026476,0.001364637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005668355,"about_ca_system_score_gemma":0.001739404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006291365,"about_ca_topic_score_gemma":0.0005795482,"domain_scores_codex":[0.9988871,0.0001749507,0.000104693,0.0001613241,0.0004573248,0.0002145422],"domain_scores_gemma":[0.9989985,0.0001172486,0.0001632392,0.0002574573,0.0003713209,0.00009225479],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007891552,0.00140548,0.01147408,0.0009708492,0.0001712377,0.001911774,0.001073035,0.1187701,0.3496181,0.1786665,0.006033526,0.3291162],"study_design_scores_gemma":[0.0002137119,0.002223711,0.004065781,0.0001193771,0.0002171034,0.001231125,0.0002464464,0.5528656,0.3499307,0.01141608,0.07736104,0.0001094805],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1169515,0.0001874796,0.8524073,0.0006184547,0.0001389496,0.001910613,0.00009934865,0.004010438,0.02367585],"genre_scores_gemma":[0.7023026,0.0001454871,0.2887894,0.0001737524,0.00002598507,0.0005170247,0.0001162624,0.0001197581,0.007809793],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002773625,"threshold_uncertainty_score":0.009278655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007535178451740942,"score_gpt":0.2445401159850172,"score_spread":0.2370049375332763,"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."}}