{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008330143,0.00007674496,0.0001932564,0.0001248594,0.0005780716,0.00006467807,0.0001651005,0.00001596401,0.00004347712],"category_scores_gemma":[0.00003042509,0.00004310879,0.00002973733,0.000254694,0.0002763388,0.0001684789,0.00001371227,0.0001571365,0.000008920862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008968649,"about_ca_system_score_gemma":0.0001927211,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5665137,"about_ca_topic_score_gemma":0.9524763,"domain_scores_codex":[0.9989287,0.0004048646,0.0002851943,0.00005916246,0.0001265839,0.0001954877],"domain_scores_gemma":[0.9994273,0.0000412766,0.0001245363,0.00007951899,0.000105989,0.0002214458],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000007749523,0.00003633519,0.001653067,0.00002174288,0.0001114345,0.002136253,0.982173,0.000004950409,0.000002424853,0.01248675,0.0003465385,0.001019761],"study_design_scores_gemma":[0.0007413715,0.0003110888,0.08476054,0.0001583399,0.00006186671,0.0005668029,0.9008861,0.000002118713,0.000002031288,0.001029473,0.01134749,0.0001327529],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8184148,0.001610382,1.074347e-7,0.009916511,0.00009324145,0.0001270387,0.000002133563,0.00000235557,0.1698334],"genre_scores_gemma":[0.9987291,0.0002012458,0.000006710166,0.0005261042,0.0002594385,9.634059e-7,5.120301e-8,0.000006188146,0.0002702473],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3859627,"threshold_uncertainty_score":0.4446118,"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."}}