{"id":"W2471607624","doi":"10.2139/ssrn.2797515","title":"Excess Liquidity and Credit Misallocation: Evidence from China","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Market liquidity; China; Economics; Monetary economics; Financial system; Business; Geography","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":[0.00111634,0.000297729,0.0004167896,0.001690479,0.0008108859,0.0009666023,0.0005875318,0.00047433,0.002617018],"category_scores_gemma":[0.002833043,0.0002114119,0.0003634705,0.003529518,0.001353253,0.0006899837,0.0009826683,0.0004417255,0.0002014535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0013226,"about_ca_system_score_gemma":0.001585941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0825251,"about_ca_topic_score_gemma":0.0918323,"domain_scores_codex":[0.9996607,0.00006916408,0.00003265158,0.00006647379,0.00006739303,0.0001035719],"domain_scores_gemma":[0.9946239,0.001417882,0.002214372,0.0004078177,0.0007078993,0.0006281622],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003035051,0.00005442154,0.9916048,0.00004880884,0.0001064246,0.0003171226,0.0007688839,0.0003348897,0.0003850725,0.0004738273,0.0003117615,0.005290565],"study_design_scores_gemma":[0.00003615765,0.00006307619,0.9976161,0.00001221868,0.0001073671,0.00008043038,0.0007126994,0.0004530904,0.0002219617,0.0002951469,0.0003922869,0.000009552752],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991992,0.0002188556,0.00002299841,0.00009250065,0.000001071059,0.000002028522,0.0001120104,0.000001042384,0.000350283],"genre_scores_gemma":[0.9994355,0.0001976596,0.00001405963,0.00002292414,0.000007884788,0.000001472003,0.0001649531,7.508445e-7,0.0001547256],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0825251,"threshold_uncertainty_score":0.1640895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0425475299523919,"score_gpt":0.2193805235047766,"score_spread":0.1768329935523847,"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."}}