{"id":"W4281721376","doi":"10.15382/sturii2022104.38-48","title":"Stratification of the russian landed nobility in the middle — second half of the 18th century","year":2022,"lang":"en","type":"article","venue":"St Tikhons University Review","topic":"Regional Socio-Economic Development Trends","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nobility; Gentry; Quarter (Canadian coin); Ancient history; State (computer science); History; Elite; Economic history; Political science; Law; Archaeology; Politics","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":[0.001218443,0.00005446032,0.0001432242,0.00002230904,0.0005625196,0.000005727474,0.0009066786,0.00002328301,0.0008613823],"category_scores_gemma":[0.00004056721,0.00003387859,0.000116462,0.0006377713,0.0003226683,0.00007005695,0.000143414,0.0001596598,0.000002383411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002376278,"about_ca_system_score_gemma":0.0003788625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001208459,"about_ca_topic_score_gemma":0.005967968,"domain_scores_codex":[0.9983361,0.001022747,0.0001665098,0.0001239219,0.0002475062,0.0001031644],"domain_scores_gemma":[0.9993046,0.0001122652,0.0002222381,0.0003231489,0.00001982214,0.00001792449],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002694006,0.0005169083,0.08260603,0.0008935978,0.0001105308,0.000002730954,0.07993118,0.00002433317,0.00003747619,0.8131552,0.01308463,0.009610427],"study_design_scores_gemma":[0.0001457469,0.000008271341,0.1318185,0.0001487194,0.00003314986,6.510735e-7,0.01724303,0.000001499757,0.000004453061,0.0009131363,0.8496152,0.00006758397],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6166514,0.006071639,0.000003060515,0.08694415,0.0006097275,0.00220009,0.0002656346,0.00002120468,0.2872331],"genre_scores_gemma":[0.9952857,0.002165715,0.00001234496,0.0002275965,0.000007863253,0.000002580203,0.000008153777,0.000001912303,0.002288076],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8365306,"threshold_uncertainty_score":0.9431533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04051118646838817,"score_gpt":0.2475709862904689,"score_spread":0.2070597998220808,"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."}}