{"id":"W4313361579","doi":"10.35785/2072-9464-2022-59-3-155-168","title":"Solution of the Personnel Issue in the City Police of the Russian Empire at the End of the 18th – the First Qarter of the 19th Centuries: Normative and Legal Regulation","year":2022,"lang":"en","type":"article","venue":"Izvestia of Smolensk State University","topic":"Legal and Regulatory Analysis","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Empire; Quarter (Canadian coin); Legislation; Law; Officer; Normative; Staffing; Historiography; Order (exchange); Promotion (chess); Jurisdiction; Political science; Public administration; Sociology; History; Politics; Business","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.001033936,0.0001190466,0.0001986222,0.0000412872,0.002148727,0.00001267402,0.001170861,0.00005209518,0.00007514387],"category_scores_gemma":[0.00004751693,0.00004571359,0.0002508307,0.0009674799,0.003676353,0.0001917305,0.0006178559,0.0002660984,1.987152e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001450919,"about_ca_system_score_gemma":0.000211566,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05022392,"about_ca_topic_score_gemma":0.04180442,"domain_scores_codex":[0.997261,0.001422984,0.0002506106,0.0001508741,0.0007369424,0.00017753],"domain_scores_gemma":[0.9983683,0.0002634561,0.0007029515,0.0005433098,0.0001006545,0.00002129768],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0002425473,0.0001993712,0.1355489,0.00008429367,0.0002541896,7.200583e-7,0.8338946,0.004058873,0.0009116278,0.02331368,0.001154018,0.0003372452],"study_design_scores_gemma":[0.0003662769,0.0000419039,0.8226258,0.00006620248,0.0002327856,0.000002123713,0.1588629,0.000309929,0.002291168,0.0007730913,0.0143382,0.00008960757],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9750045,0.00006659112,0.000004037369,0.02077156,0.0001297527,0.0004280723,0.0002131344,0.00000324786,0.003379093],"genre_scores_gemma":[0.9981865,0.00002667397,0.000002944704,0.0001447722,0.00002018605,7.286885e-7,0.000001407737,0.000003681924,0.00161313],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6870769,"threshold_uncertainty_score":0.9991503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007700885275307083,"score_gpt":0.2018086376179871,"score_spread":0.19410775234268,"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."}}