{"id":"W4300235305","doi":"10.2139/ssrn.3345331","title":"The Financing of Local Government in China: Stimulus Loan Wanes and Shadow Banking Waxes","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":42,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Stimulus (psychology); Financial system; Loan; Business; China; Debt; Financial crisis; Finance; Bond; Soft loan; Economics; Non-performing loan; Political science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003169999,0.0001181323,0.0002345382,0.00007580077,0.000304714,0.00005942559,0.0002397371,0.00005848938,0.00002650589],"category_scores_gemma":[0.0001414814,0.0001018849,0.00005787147,0.000219609,0.0002578789,0.0001567236,0.00006250702,0.0005257099,0.000006078282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009943123,"about_ca_system_score_gemma":0.0002061398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003601395,"about_ca_topic_score_gemma":0.004421642,"domain_scores_codex":[0.9980379,0.00003058743,0.0005926618,0.0002321356,0.00009897663,0.00100768],"domain_scores_gemma":[0.999283,0.00008802216,0.0003751974,0.0001953068,0.00003069041,0.00002783009],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004897529,0.00006738539,0.1763529,0.00001237353,0.00003309566,6.246516e-7,0.0008632435,0.0004429094,0.00002577045,0.7614178,0.000009326225,0.06072559],"study_design_scores_gemma":[0.0005711371,0.0003832975,0.3220018,0.00003479349,0.000005250735,0.00005413128,0.0006829736,0.009623919,0.0001151127,0.6656317,0.0007372297,0.0001587306],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9637581,0.00985253,0.02426038,0.0005284796,0.0001984626,0.0001040431,0.000005215147,0.000007115608,0.001285684],"genre_scores_gemma":[0.99824,0.001386632,0.00008302869,0.00001372183,0.00011683,0.000002366178,3.379457e-7,0.00001398982,0.0001430941],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1456489,"threshold_uncertainty_score":0.4154744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006643406817154369,"score_gpt":0.2037924137075187,"score_spread":0.1971490068903644,"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."}}