{"id":"W4323269217","doi":"10.31518/2618-9100-2023-1-7","title":"Dismissal of Ex-Officers during the Purges of Soviet Institutions 1928–1929 (On the Example of the District Financial Departments of Siberia)","year":2023,"lang":"en","type":"article","venue":"Historical Courier","topic":"Social and Behavioral Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Politics; Dismissal; Elite; State (computer science); Historiography; Political science; Ideology; Period (music); Quarter (Canadian coin); Fell; Position (finance); Law; Economic history; History; Economics; Finance","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":[0.001707347,0.0002914726,0.0003286557,0.001280505,0.006077188,0.002209286,0.0006633922,0.0007234963,0.003796446],"category_scores_gemma":[0.003275085,0.0002682531,0.000174812,0.001924403,0.003468399,0.0009637204,0.003479791,0.001464878,0.0007213097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005038604,"about_ca_system_score_gemma":0.002633385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03966053,"about_ca_topic_score_gemma":0.06260257,"domain_scores_codex":[0.9984733,0.0003356744,0.00008100408,0.0001337864,0.0003304016,0.0006456745],"domain_scores_gemma":[0.9978543,0.000306248,0.0009052997,0.0001356687,0.0002318731,0.0005665544],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005414263,0.0001294223,0.4168132,0.0003131082,0.00006537332,0.005869232,0.4597851,0.0003488755,0.003726224,0.0146643,0.01383701,0.08390671],"study_design_scores_gemma":[0.000004592975,0.00007889891,0.8509264,0.00008772052,0.00001130929,0.0004694887,0.1008546,0.00005070289,0.0004981739,0.0003245674,0.04667372,0.00001989189],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896553,0.0007953129,0.00009141437,0.0006899507,0.000048994,0.00000668873,0.00008478347,0.000007128568,0.008620417],"genre_scores_gemma":[0.9928561,0.0005240925,0.00003293972,0.000125762,0.00004678702,0.000007960747,0.00007957003,0.000005211672,0.006321527],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03966053,"threshold_uncertainty_score":0.07885933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1120079229853467,"score_gpt":0.3162448061260331,"score_spread":0.2042368831406864,"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."}}