{"id":"W2570015036","doi":"10.3386/w24436","title":"Do Financial Frictions Explain Chinese Firms’ Saving and Misallocation?","year":2018,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Western Canada Research Grid","keywords":"Business; Finance; Economics; Monetary economics; Financial system","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0009641428,0.0003596535,0.0006423573,0.002149345,0.0006878413,0.001345342,0.0005860704,0.0005654513,0.002540643],"category_scores_gemma":[0.004094678,0.0002778977,0.0005820689,0.003091292,0.0008643978,0.001128992,0.00084827,0.0004781247,0.0002506225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002812587,"about_ca_system_score_gemma":0.001664579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1245128,"about_ca_topic_score_gemma":0.1383053,"domain_scores_codex":[0.9996248,0.00003791181,0.00004511965,0.00008126611,0.00005558838,0.0001552329],"domain_scores_gemma":[0.9961395,0.0007511495,0.002246997,0.0003203065,0.0002334232,0.0003086692],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004068116,0.00003055943,0.9841375,0.0000364658,0.00007211565,0.0003124991,0.0005274992,0.004458245,0.0001601461,0.002083334,0.0008456576,0.007295251],"study_design_scores_gemma":[0.00001229676,0.00002129041,0.9822595,0.00001780185,0.00005546046,0.00004808027,0.000558733,0.01408949,0.0001662087,0.00183611,0.0009192865,0.00001571219],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976483,0.00034241,0.0002521508,0.0004250014,0.000004028631,0.00001029096,0.0004313032,0.00001305665,0.0008733645],"genre_scores_gemma":[0.9992381,0.0001275101,0.00004025283,0.00002355135,0.000005542046,0.000003173933,0.0003042751,0.000001538435,0.0002560351],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1245128,"threshold_uncertainty_score":0.2475761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2038639637668977,"score_gpt":0.4364369858319146,"score_spread":0.2325730220650169,"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."}}