{"id":"W2370266815","doi":"","title":"The Value Analysis of China's Shadow Banking and Financial Regulation","year":2013,"lang":"en","type":"article","venue":"International Business Research","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Shadow (psychology); China; Financial crisis; Subprime mortgage crisis; Shadow banking system; Monetary policy; Subprime crisis; Economics; Financial system; Value (mathematics); Mechanism (biology); Business; Monetary economics; Macroeconomics; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.000628671,0.0001479703,0.0002537494,0.001135893,0.0005480651,0.001721753,0.0004113541,0.0004062273,0.002448092],"category_scores_gemma":[0.002114053,0.0001074372,0.0004133488,0.001059595,0.001362509,0.00136695,0.0005833305,0.0004709348,0.00007408796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002911955,"about_ca_system_score_gemma":0.001750479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01559684,"about_ca_topic_score_gemma":0.006479939,"domain_scores_codex":[0.9996247,0.000080934,0.00001339866,0.00005859711,0.0001116215,0.0001106807],"domain_scores_gemma":[0.9991708,0.0002421938,0.000197805,0.0000473146,0.0002516679,0.0000902338],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000124964,0.00007698414,0.141128,0.0001127843,0.00006944108,0.001172769,0.001404862,0.02755597,0.002650035,0.7683966,0.005244606,0.0520631],"study_design_scores_gemma":[0.00004218676,0.0001431108,0.3561145,0.0001129424,0.00017006,0.0005225214,0.002023313,0.3209578,0.001786934,0.3020806,0.01595548,0.00009045497],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9516155,0.0009376828,0.007794435,0.001730497,0.00003176551,0.00002945036,0.0001082364,0.00003077072,0.03772181],"genre_scores_gemma":[0.9980452,0.0002234588,0.0001859096,0.0000286484,0.00001818071,0.000005646103,0.00002391879,0.0000019804,0.001467022],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01559684,"threshold_uncertainty_score":0.03101212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03668650802122331,"score_gpt":0.2906911199716969,"score_spread":0.2540046119504736,"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."}}