{"id":"W3124038850","doi":"","title":"The Varying Shadow of China's Banking System","year":2018,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Shadow (psychology); China; Business; Financial crisis; Government (linguistics); State (computer science); Financial system; Phenomenon; Shadow banking system; Capital (architecture); Market economy; Local government; Chinese financial system; Economics; Economic policy; Economic system; Political science; Macroeconomics; Public administration","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007144804,0.0001109886,0.0002155734,0.0009927271,0.0009969078,0.001889621,0.0002328171,0.0003794951,0.001746356],"category_scores_gemma":[0.001379134,0.0001157146,0.0001453634,0.001227758,0.002000563,0.0008956779,0.0008719267,0.0004482853,0.00008250235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004142882,"about_ca_system_score_gemma":0.003200373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04683577,"about_ca_topic_score_gemma":0.05494895,"domain_scores_codex":[0.999557,0.00008073102,0.0000227569,0.0000749894,0.0001116335,0.0001529247],"domain_scores_gemma":[0.9990398,0.0001557778,0.0003150919,0.00009463337,0.0001995112,0.0001951564],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002774165,0.0000492682,0.6432396,0.0002785532,0.0001222513,0.002191578,0.01318865,0.005814968,0.007136565,0.2308674,0.01066976,0.08616411],"study_design_scores_gemma":[0.00001615623,0.00004363082,0.9562933,0.00006275868,0.00002544599,0.0001732357,0.002179128,0.005008437,0.0007124486,0.01331428,0.02213262,0.00003855874],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9789625,0.001106509,0.0004281244,0.003865256,0.0000255931,0.00001018721,0.0001748584,0.00002056177,0.01540651],"genre_scores_gemma":[0.9989795,0.000251519,0.00003943336,0.0001372111,0.00001230146,0.000001811913,0.00002834969,0.000001451175,0.000548433],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04683577,"threshold_uncertainty_score":0.09312636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03385390553830054,"score_gpt":0.2820166302379667,"score_spread":0.2481627246996662,"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."}}