{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002125952,0.0009765314,0.001326609,0.0005443515,0.00526759,0.0002530035,0.001278248,0.0004675956,0.000868892],"category_scores_gemma":[0.001532221,0.0009203624,0.0007250968,0.00322809,0.002486628,0.001030505,0.0009384038,0.0008287758,0.005656383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00105452,"about_ca_system_score_gemma":0.000413609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002400683,"about_ca_topic_score_gemma":0.006228122,"domain_scores_codex":[0.9928086,0.0006162632,0.001162466,0.001557789,0.002092271,0.001762653],"domain_scores_gemma":[0.9964947,0.0008483194,0.0004917467,0.0009732552,0.000461812,0.0007302097],"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":[0.0007596166,0.001450008,0.03625367,0.0005960054,0.001920807,0.001321197,0.2888916,0.000145057,0.002124425,0.2679967,0.3740457,0.02449522],"study_design_scores_gemma":[0.001672504,0.0003626963,0.007200661,0.0002123201,0.0002308984,0.00002123651,0.02550134,0.00003829315,0.0003969921,0.07851774,0.8841205,0.001724889],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7371433,0.006673825,0.0000194613,0.009260608,0.01395868,0.001458669,0.0002655583,0.002149339,0.2290705],"genre_scores_gemma":[0.9617524,0.001321072,0.0001951347,0.00109853,0.003928978,0.0002697753,0.0001183212,0.0001436466,0.03117216],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5100747,"threshold_uncertainty_score":0.9993247,"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."}}