{"id":"W4391072883","doi":"10.13187/rs.2023.2.69","title":"The Russian Nation and Its Ethnic Groups in the Late 19th – First Quarter of the 20th Century: Historical and Demographic Analysis","year":2023,"lang":"en","type":"article","venue":"Russkaya Starina","topic":"Regional Socio-Economic Development Trends","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Late 19th century; Quarter (Canadian coin); Ethnic group; History; Historical demography; Demography; Ancient history; Period (music); Sociology; Anthropology; Archaeology; Developed country; Population; Art","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":[0.0003117991,0.00009117827,0.0001247335,0.00130949,0.0009168673,0.0007248296,0.0001389758,0.0001617109,0.001584462],"category_scores_gemma":[0.0004121552,0.00008894037,0.00008851756,0.00164205,0.0003890178,0.0006511299,0.0005427822,0.0002557859,0.0002119904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006359069,"about_ca_system_score_gemma":0.0005672248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01331632,"about_ca_topic_score_gemma":0.02058703,"domain_scores_codex":[0.9998513,0.00003865537,0.00001574996,0.00002438673,0.00002404586,0.00004579459],"domain_scores_gemma":[0.999826,0.00003182642,0.00006212561,0.000007199102,0.00003369166,0.00003910415],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001082106,0.0001160108,0.8094881,0.0002469504,0.00004061408,0.0007682398,0.1073044,0.0002590673,0.001539513,0.01474534,0.002362034,0.06302156],"study_design_scores_gemma":[0.000001403969,0.00007215918,0.9358099,0.00007028301,0.000009821554,0.0005376558,0.03016945,0.0001141728,0.0002156479,0.000343677,0.03264747,0.000008422937],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923031,0.001789997,0.00007208652,0.0001518175,0.00001315846,0.000006797942,0.0003559578,0.000002284257,0.005304758],"genre_scores_gemma":[0.9938943,0.003180981,0.0001343393,0.00002472901,0.0000161203,0.00001336254,0.0005163444,0.000002817259,0.002217002],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01331632,"threshold_uncertainty_score":0.02647763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02866423835491546,"score_gpt":0.2669283229522874,"score_spread":0.2382640845973719,"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."}}