{"id":"W4231147416","doi":"10.36511/2078-5356-2020-2-164-169","title":"Evolution of features of public service in Rus’ and in Russia in IX — the first quarter of XVIII century","year":2020,"lang":"en","type":"article","venue":"Legal Science and Practice Journal of Nizhny Novgorod Academy of the Ministry of Internal Affairs of Russia","topic":"Legal and Policy Issues","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Service (business); Context (archaeology); State (computer science); Reign; Normative; Public service; Public administration; Institutionalisation; Transformational leadership; Institution; Premise; Political science; Civil service; History; Law; Economy; Politics; Public relations; Philosophy; Archaeology; Economics; Epistemology; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.004696597,0.0001571226,0.0005738845,0.0002804095,0.00009682377,0.00004176603,0.001415533,0.0001691807,0.00001818034],"category_scores_gemma":[0.002602954,0.00009819079,0.0001203974,0.001531041,0.002074461,0.001742106,0.0002488337,0.0007728668,2.207048e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008167396,"about_ca_system_score_gemma":0.0005961398,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009605688,"about_ca_topic_score_gemma":0.00150547,"domain_scores_codex":[0.9965518,0.0004495164,0.001251345,0.0001974054,0.001249493,0.0003004988],"domain_scores_gemma":[0.9960938,0.0007980039,0.002547214,0.0001253452,0.0003033899,0.0001323059],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.007942203,0.002033834,0.4065723,0.002175024,0.0002984015,0.00003378834,0.3151863,0.0003473985,0.1513009,0.1044538,0.002252121,0.007403934],"study_design_scores_gemma":[0.002523874,0.001064598,0.7778649,0.002775789,0.000149424,0.0001938544,0.1446736,0.0001910525,0.04065876,0.002073855,0.02748319,0.0003469998],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8736648,0.00183461,0.000002043668,0.1178967,0.0001159893,0.0001474736,0.00001735945,0.000001411397,0.006319595],"genre_scores_gemma":[0.9987627,0.0005208156,0.0002102797,0.0003709234,0.0001114659,7.847067e-7,8.322518e-8,0.000004998527,0.00001791523],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3712926,"threshold_uncertainty_score":0.9969894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02693759188597483,"score_gpt":0.325313086672106,"score_spread":0.2983754947861311,"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."}}