{"id":"W4417335878","doi":"10.36871/ek.up.p.r.2025.12.01.022","title":"ETHICAL PROBLEMS OF DIGITAL TRANSFORMATION OF PUBLIC ADMINISTRATION IN RUSSIA AND POSSIBLE SOLUTIONS","year":2025,"lang":"","type":"article","venue":"EKONOMIKA I UPRAVLENIE PROBLEMY RESHENIYA","topic":"Security, Politics, and Digital Transformation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Transparency (behavior); Digital transformation; Legislation; Digital rights; Process (computing); Digital economy; Fundamental rights; State (computer science)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01714699,0.0003061724,0.0004695625,0.00105787,0.007938528,0.01127,0.001073387,0.006754493,0.001276123],"category_scores_gemma":[0.01865637,0.0002790906,0.0006309872,0.001072524,0.02344138,0.005344663,0.007114887,0.006819723,0.0002729094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00827603,"about_ca_system_score_gemma":0.014405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002936216,"about_ca_topic_score_gemma":0.002189864,"domain_scores_codex":[0.97193,0.01968953,0.001067413,0.001525452,0.00370988,0.002077675],"domain_scores_gemma":[0.9873316,0.007944999,0.001587077,0.001102531,0.001075398,0.0009584582],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001149975,0.00003434995,0.001219884,0.00007587547,0.000008669173,0.000407438,0.009907288,0.0007507737,0.0001755541,0.9652353,0.003343147,0.01883011],"study_design_scores_gemma":[0.00001716086,0.0000451701,0.002859135,0.0007269306,0.00001815801,0.000982059,0.01839702,0.002865737,0.0006983,0.8182698,0.1550565,0.00006393534],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1499611,0.03045423,0.04705149,0.5696146,0.003014363,0.000195576,0.00007669973,0.0001202226,0.1995117],"genre_scores_gemma":[0.9680168,0.005993569,0.007360751,0.00963155,0.0007666238,0.0001411781,0.00002751012,0.00002703789,0.008035103],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01714699,"threshold_uncertainty_score":0.09068304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05514512427705658,"score_gpt":0.3208137630954963,"score_spread":0.2656686388184397,"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."}}