{"id":"W3125648992","doi":"10.1002/ijfe.2527","title":"Credit supply, house prices, and financial stability","year":2021,"lang":"en","type":"article","venue":"International Journal of Finance & Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"National Natural Science Foundation of China","keywords":"Economics; Recession; Bank credit; Monetary economics; Financial crisis; Financial stability; Shadow (psychology); Financial system; Monetary policy; Credit crunch; Finance; Macroeconomics","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":[0.0005531046,0.0002261977,0.0002856407,0.001126737,0.0003176883,0.000941896,0.0002343125,0.0004123346,0.003681406],"category_scores_gemma":[0.00319608,0.0001507672,0.0003400565,0.001745268,0.0004636816,0.0006917135,0.0004999306,0.0004501698,0.000259695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008028303,"about_ca_system_score_gemma":0.000563968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04696342,"about_ca_topic_score_gemma":0.04631234,"domain_scores_codex":[0.9997733,0.00004456107,0.00002908351,0.00004241242,0.0000533426,0.00005728591],"domain_scores_gemma":[0.9969825,0.0005271788,0.001581385,0.0001045009,0.0003911771,0.0004132162],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003049378,0.00002080676,0.9962589,0.000009345895,0.00004786241,0.00005140694,0.00004545,0.001094131,0.0001035169,0.0002379911,0.0002964368,0.001803775],"study_design_scores_gemma":[0.000004047158,0.00001923691,0.9954559,0.000007476306,0.00001620708,0.00001628894,0.0001094454,0.003751473,0.00008496738,0.0002399658,0.0002907277,0.00000430158],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997794,0.0001996236,0.0001671156,0.0002427523,0.000007092966,0.000005922723,0.0008934712,0.000005090076,0.0006847372],"genre_scores_gemma":[0.9993481,0.0000642092,0.00002104759,0.00001173357,0.000009557873,0.000002462928,0.0003234789,6.19514e-7,0.000218816],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04696342,"threshold_uncertainty_score":0.09338015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02147621646749162,"score_gpt":0.2141671639217313,"score_spread":0.1926909474542396,"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."}}