{"id":"W4387184921","doi":"10.15826/qr.2023.3.816","title":"Sources of Population Records of Early Yekaterinburg: Peculiarities and Information Potential","year":2023,"lang":"en","type":"article","venue":"Quaestio Rossica","topic":"Regional Socio-Economic Development Trends","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Appeal; Quarter (Canadian coin); Geography; Historiography; Fortress (chess); Regional science; History; Genealogy; Demography; Sociology; Political science; Archaeology; Ancient history; Law","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":[0.0003805528,0.00005634022,0.0001248771,0.000126645,0.0001866964,0.00005410844,0.00008844421,0.00006862792,0.00004004872],"category_scores_gemma":[0.00008843326,0.000059018,0.00003384974,0.0002037302,0.0002508207,0.0007044792,0.00003289724,0.00003795357,0.00001479812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003523393,"about_ca_system_score_gemma":0.00005671482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00537404,"about_ca_topic_score_gemma":0.0001356488,"domain_scores_codex":[0.9992626,0.00004746658,0.0002686089,0.00007754505,0.0002153093,0.0001284428],"domain_scores_gemma":[0.9996055,0.00005046936,0.0001773337,0.00006240333,0.00006292622,0.00004141162],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009678519,0.00004005284,0.6926659,0.0001243312,0.00006810343,0.000002315694,0.09389716,0.0004220177,0.0001516286,0.08947126,0.003074843,0.1199857],"study_design_scores_gemma":[0.0001642868,0.00003721174,0.9802276,0.00002580422,0.000007109874,4.399274e-7,0.002807188,0.000126308,0.00004145605,0.003605161,0.01287114,0.00008627606],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953997,0.00001385316,0.00004401421,0.0008263923,0.0002184455,0.00007139007,0.00001313999,0.00005839322,0.00335464],"genre_scores_gemma":[0.9983442,0.00009267555,0.0002345302,0.00001224063,0.000055726,0.000006909931,0.00003624599,0.000003718796,0.001213702],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2875618,"threshold_uncertainty_score":0.8123977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01578675018612799,"score_gpt":0.2679407692540987,"score_spread":0.2521540190679706,"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."}}