{"id":"W2613300120","doi":"10.22215/cjers.v8i1.2481","title":"Civil Service Reform in Transition: A Case Study of Russia","year":2013,"lang":"en","type":"article","venue":"The Canadian Journal of European and Russian Studies","topic":"Legal and Policy Issues","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Bureaucracy; Presidency; Public administration; Elite; Politics; Civil service; Political science; Public service; State (computer science); Communism; Government (linguistics); Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002126476,0.0002929354,0.00048823,0.00135453,0.009359678,0.003410674,0.0009815375,0.002343078,0.001897157],"category_scores_gemma":[0.003568594,0.0002652151,0.0004105134,0.002001124,0.004654502,0.001396737,0.004631703,0.002681438,0.0002936079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008864335,"about_ca_system_score_gemma":0.004517114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05984962,"about_ca_topic_score_gemma":0.0821716,"domain_scores_codex":[0.9969043,0.0017901,0.00007364462,0.0001084656,0.0001946111,0.0009287769],"domain_scores_gemma":[0.9983813,0.0007086648,0.0002706094,0.00007716377,0.0001245026,0.0004378351],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002938283,0.001258108,0.05801653,0.0003421035,0.00004714888,0.02816151,0.8313093,0.001550409,0.002048973,0.04696341,0.003125961,0.02688272],"study_design_scores_gemma":[0.00003596951,0.0003622586,0.05857572,0.0001697708,0.00003118164,0.002055003,0.9038132,0.0009030071,0.0006180489,0.00145311,0.03195309,0.00002949829],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919071,0.0002404123,0.0002370761,0.001034412,0.00002017012,0.000046857,0.00001983995,0.000004949555,0.006489096],"genre_scores_gemma":[0.9978873,0.0003337953,0.0001341578,0.0001694835,0.00001128518,0.00002484568,0.00001639346,0.000004592163,0.001418044],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05984962,"threshold_uncertainty_score":0.1190025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06342245454448484,"score_gpt":0.3180639362810136,"score_spread":0.2546414817365288,"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."}}