{"id":"W4380483716","doi":"10.22162/2619-0990-2023-66-2-293-312","title":"Традиционные институты публичной власти на монгольских землях имперского и республиканского Китая на сломе эпох (первая четверть ХХ в.): пространственная локализация и визуализация","year":2023,"lang":"en","type":"article","venue":"ORIENTAL STUDIES","topic":"Chinese history and philosophy","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Russian Science Foundation","keywords":"Narrative; Corporate governance; Politics; Geography; China; Quarter (Canadian coin); Government (linguistics); Political science; Regional science; Cartography; Archaeology; Law; Management; Literature","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":[0.001511398,0.0003812305,0.0002437638,0.001485834,0.001871965,0.004977957,0.0006416423,0.0008273748,0.02167566],"category_scores_gemma":[0.002652867,0.0004987177,0.0003359674,0.001328473,0.005209882,0.002097173,0.001423825,0.001150089,0.003780237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002396619,"about_ca_system_score_gemma":0.003501884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007332098,"about_ca_topic_score_gemma":0.009715076,"domain_scores_codex":[0.9983101,0.0004333914,0.00009027601,0.0003116217,0.0006599184,0.0001946235],"domain_scores_gemma":[0.9987502,0.000389119,0.0001473708,0.0002643131,0.0003433297,0.0001055834],"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":[0.00003977894,0.00003341284,0.001636492,0.0002129488,0.00001360913,0.0005025704,0.006669011,0.0007262664,0.003253783,0.8854219,0.006758651,0.0947316],"study_design_scores_gemma":[0.00002032902,0.00003948121,0.00426217,0.0002747992,0.00002149571,0.000871548,0.004501108,0.0009714025,0.002973631,0.2186217,0.7673944,0.00004783262],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08538301,0.01275805,0.09632713,0.008654395,0.001072222,0.0002538838,0.0007221221,0.0003032353,0.7945259],"genre_scores_gemma":[0.8367092,0.00885875,0.05559772,0.000382107,0.0002745657,0.0004546781,0.0002992381,0.0002362536,0.0971875],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02167566,"threshold_uncertainty_score":0.07251239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1023242313838871,"score_gpt":0.3883474284120204,"score_spread":0.2860231970281333,"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."}}