{"id":"W393700957","doi":"","title":"Нижегородская губерния времен Петра i сквозь строки архивных документов рецензи я н а книгу : «От Петра губернии берем начало. . . »: (становлениенижегородскойгуберниивпервойчетверти XVIII В. ): сборник документов / Сост. Е. Э. Ешан, С. В. Сироткин. Н. Новгород: ЦАНО, 2014. 296 с","year":2015,"lang":"ru","type":"article","venue":"Вестник Нижегородского университета им. Н. И. Лобачевского","topic":"Central European and Russian historical studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Strengths and weaknesses; History; Data collection; Political science; Sociology; Epistemology; Philosophy; Archaeology; Social 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":["metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"category_scores_codex":[0.01259815,0.01031044,0.01096754,0.003667419,0.01213698,0.004376413,0.01358836,0.0061519,0.01046127],"category_scores_gemma":[0.005140116,0.01031682,0.006117458,0.01046545,0.01064502,0.006331152,0.006733082,0.01020272,0.05601774],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.01161807,"about_ca_system_score_gemma":0.008325765,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0130132,"about_ca_topic_score_gemma":0.006856979,"domain_scores_codex":[0.9385913,0.007600548,0.01148077,0.01202334,0.0135127,0.01679134],"domain_scores_gemma":[0.9623132,0.003434465,0.006508318,0.009358373,0.004381883,0.01400375],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003496649,0.008267471,0.006429987,0.001536674,0.003482004,0.003751777,0.04616868,0.0007817621,0.001665285,0.02391406,0.8471885,0.05331712],"study_design_scores_gemma":[0.01344292,0.003182236,0.005746289,0.001814863,0.002639119,0.0004866041,0.02041806,0.0009893492,0.001593431,0.001560023,0.9356908,0.01243626],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1027976,0.1412485,0.002561581,0.0300171,0.07486834,0.01740338,0.004201247,0.01139334,0.615509],"genre_scores_gemma":[0.7364727,0.03751515,0.005155809,0.007741792,0.0249397,0.001169818,0.001704864,0.003529962,0.1817701],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6336752,"threshold_uncertainty_score":0.9972961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06117519823103408,"score_gpt":0.2925703052710835,"score_spread":0.2313951070400494,"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."}}