{"id":"W183105589","doi":"","title":"Потомки служилых людей как источник формирования купечества г. Томска в xviii в","year":2013,"lang":"ru","type":"article","venue":"Вестник Томского государственного университета. История","topic":"Regional Socio-Economic Development Trends","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Quarter (Canadian coin); Census; Guild; Genealogy; Throne; Geography; Demography; History; Ancient history; Archaeology; Political science; Sociology; Law; Biology","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":[0.003509849,0.003867667,0.004082592,0.00174967,0.005207626,0.00346291,0.0067282,0.003354499,0.04410758],"category_scores_gemma":[0.001506756,0.004147187,0.002572493,0.004184152,0.005415031,0.005329834,0.001776864,0.003618775,0.07133096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003453861,"about_ca_system_score_gemma":0.00430067,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01913678,"about_ca_topic_score_gemma":0.004527655,"domain_scores_codex":[0.9749348,0.002148905,0.005314629,0.005314894,0.00469809,0.007588659],"domain_scores_gemma":[0.9850689,0.00233213,0.003030316,0.003897905,0.001622238,0.004048465],"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":[0.000395969,0.002870913,0.04542552,0.0006696208,0.002945812,0.0004454797,0.03548674,0.0001594136,0.001893577,0.07406727,0.6707354,0.1649043],"study_design_scores_gemma":[0.004953683,0.0007248612,0.1239321,0.001021295,0.000654084,0.0001466342,0.02024043,0.0003875602,0.0006070096,0.01225652,0.82862,0.006455833],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.357412,0.00824859,0.0002852386,0.04211093,0.01705577,0.006418529,0.0004963944,0.002541775,0.5654307],"genre_scores_gemma":[0.7657958,0.00401123,0.002836819,0.006022794,0.006051444,0.000952701,0.0004478216,0.0007769618,0.2131044],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4083838,"threshold_uncertainty_score":0.9986799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02249978984954242,"score_gpt":0.2681490691021866,"score_spread":0.2456492792526441,"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."}}