{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001311484,0.0001253535,0.000256682,0.0003826643,0.000193924,0.00005741191,0.0005094228,0.00003034155,0.00004627073],"category_scores_gemma":[0.00005352431,0.0001126647,0.0001311574,0.0006901571,0.00005188033,0.0002878832,0.0001759736,0.0005064599,1.07888e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006508418,"about_ca_system_score_gemma":0.0002837081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007929194,"about_ca_topic_score_gemma":0.000005677996,"domain_scores_codex":[0.9981726,0.0002464639,0.0006536295,0.0001683075,0.0005008898,0.0002581489],"domain_scores_gemma":[0.9987215,0.00008394432,0.0008647782,0.00006897358,0.0001489023,0.0001119076],"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":[0.00002861157,0.00005436329,0.01531046,0.00006056463,0.0005700883,0.00004705749,0.02086274,0.3698965,0.006913876,0.5701696,0.002567788,0.01351837],"study_design_scores_gemma":[0.001029753,0.001234932,0.003835239,0.00008062518,0.0001510775,0.0004110088,0.004033489,0.9809976,0.002026859,0.003792212,0.002033241,0.0003740271],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5820523,0.0002716649,0.4170903,0.0004047579,0.0001167104,0.00004887826,3.750323e-7,0.00001087924,0.00000416042],"genre_scores_gemma":[0.9687542,0.00001744232,0.03092962,0.0002307287,0.00005479753,0.000001865427,5.235717e-7,0.000008876405,0.000001998684],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6111011,"threshold_uncertainty_score":0.4594334,"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."}}