{"id":"W2318211606","doi":"10.12737/4173","title":"Information and Communication Technologies as the Tool of Increase of Efficiency of Public Administration: International and National Experience","year":2014,"lang":"en","type":"article","venue":"UPRAVLENIE / MANAGEMENT (Russia)","topic":"Legal and Policy Issues","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Administration (probate law); Work (physics); Civil service; Service (business); Public service; Knowledge management; Resource (disambiguation); Information resource; Business; Information and Communications Technology; Public information; Human resources; Information technology; Public relations; Public administration; Political science; Engineering; Marketing; Computer science; World Wide Web","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":[0.00433013,0.0001578081,0.0001721049,0.0006424424,0.001007058,0.003163825,0.0003497322,0.0007345172,0.003524899],"category_scores_gemma":[0.002653565,0.00009259544,0.0001391071,0.002062613,0.002143909,0.002576311,0.001070619,0.0009188088,0.0004802599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001276445,"about_ca_system_score_gemma":0.001954823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002283292,"about_ca_topic_score_gemma":0.001945209,"domain_scores_codex":[0.9975501,0.001499445,0.00009660437,0.0001271384,0.0004306291,0.0002961599],"domain_scores_gemma":[0.9975339,0.001709554,0.0001387926,0.0001464274,0.0002503739,0.0002209523],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003049401,0.001099833,0.02029824,0.001120034,0.00003039012,0.0006841538,0.1007126,0.001596558,0.003493577,0.189254,0.01542902,0.6659766],"study_design_scores_gemma":[0.00002719148,0.0009776085,0.04448138,0.001099354,0.00005500461,0.001041253,0.1223269,0.001553743,0.006927666,0.02006728,0.8013941,0.00004838002],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5841535,0.0323437,0.007579164,0.009998755,0.0001949813,0.00007193616,0.00006775103,0.00006018716,0.3655299],"genre_scores_gemma":[0.9581103,0.02323576,0.00200518,0.0003920691,0.00008449568,0.00001999187,0.00002833057,0.00002513904,0.01609877],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00433013,"threshold_uncertainty_score":0.02290016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0226886376104854,"score_gpt":0.3251286681546895,"score_spread":0.3024400305442041,"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."}}