{"id":"W2168687785","doi":"","title":"Принцип тайного голосования при использовании современных информационных технологий","year":2014,"lang":"ru","type":"article","venue":"Вестник Тюменского государственного университета. Социально-экономические и правовые исследования","topic":"Legal and Policy Issues","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Suffrage; Voting; Political science; Ballot; Secrecy; Legislation; Electronic voting; Secret ballot; Law and economics; Law; Disapproval voting; Dialectic; Computer security; Computer science; Sociology; Politics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"category_scores_codex":[0.01447035,0.007465767,0.008502577,0.003912088,0.008621806,0.005286569,0.01151448,0.006342375,0.02464163],"category_scores_gemma":[0.005723462,0.007775483,0.005252319,0.0123805,0.007286144,0.005637785,0.004056694,0.007519835,0.05009554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002721343,"about_ca_system_score_gemma":0.004350207,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02003182,"about_ca_topic_score_gemma":0.007435133,"domain_scores_codex":[0.9503044,0.008411583,0.008402646,0.008718554,0.009852345,0.01431044],"domain_scores_gemma":[0.9706892,0.005638073,0.004892674,0.008576442,0.002528121,0.007675492],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001511732,0.00385442,0.008565818,0.002429064,0.00261675,0.0009170002,0.0635975,0.0007029431,0.004607667,0.2296305,0.5834829,0.09808364],"study_design_scores_gemma":[0.007480844,0.002112502,0.00943082,0.001708645,0.001829027,0.0002685689,0.008914484,0.003021895,0.003761705,0.02555932,0.9266413,0.009270904],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2049348,0.0131738,0.001062645,0.04064326,0.02764063,0.007970801,0.002184485,0.007376,0.6950136],"genre_scores_gemma":[0.8303002,0.01009708,0.001660419,0.01323548,0.02566764,0.000857298,0.001347366,0.001407726,0.1154267],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6253654,"threshold_uncertainty_score":0.995746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02775056699511633,"score_gpt":0.3504342624068436,"score_spread":0.3226836954117273,"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."}}