{"id":"W2735201832","doi":"10.1201/9781315371290","title":"Real-World Electronic Voting","year":2016,"lang":"en","type":"book","venue":"Auerbach Publications eBooks","topic":"Internet Traffic Analysis and Secure E-voting","field":"Computer Science","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Electronic voting; Voting; Computer science; Political science; Law; Politics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008156452,0.0005021324,0.0005458414,0.0008716829,0.0004027056,0.0006575763,0.003023281,0.0003121927,0.0001707984],"category_scores_gemma":[0.00006666635,0.0004290279,0.0004403601,0.0002790899,0.0001215764,0.0003620883,0.0005549968,0.000812849,0.0007648952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008723377,"about_ca_system_score_gemma":0.001910834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002177384,"about_ca_topic_score_gemma":0.0007175478,"domain_scores_codex":[0.996274,0.0001112842,0.0008575967,0.001161582,0.000622326,0.0009732418],"domain_scores_gemma":[0.9970254,0.0002909027,0.0007117334,0.001224504,0.0005355076,0.0002119916],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[5.885387e-7,0.00001446271,0.00000502175,0.0000117893,0.0001350551,0.000001661083,0.0001394238,0.000006882547,0.000005569292,0.9029617,0.07914297,0.01757482],"study_design_scores_gemma":[0.0001684014,0.00003702809,0.00002288923,0.000142012,0.00007418021,0.00001302154,0.00000362285,0.02509646,0.0000197911,0.003612599,0.9702011,0.0006088625],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000008047496,0.00009537212,0.2230758,0.00119261,0.0002124019,0.0002805594,0.00000914765,0.0007417813,0.7743843],"genre_scores_gemma":[0.07455303,0.00002003387,0.002074306,0.0003249666,0.0006658775,0.0001177844,0.00008910009,0.00007010874,0.9220848],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8993492,"threshold_uncertainty_score":0.9998162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01622543221013553,"score_gpt":0.2534470093522048,"score_spread":0.2372215771420693,"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."}}