{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007659386,0.0001718117,0.0005239736,0.0001987581,0.00006818272,0.0002266699,0.0004452826,0.0001312829,0.0003140075],"category_scores_gemma":[0.0004256568,0.0002255262,0.000201107,0.00007681389,0.0001022398,0.0007674841,0.0001504763,0.0002677847,0.00007784742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003228753,"about_ca_system_score_gemma":0.0002523898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003465907,"about_ca_topic_score_gemma":0.00009380955,"domain_scores_codex":[0.9981408,0.00001385415,0.001212755,0.0003443849,0.00004097651,0.0002472901],"domain_scores_gemma":[0.9982679,0.0001021556,0.001054901,0.0002397487,0.0002373244,0.00009792938],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006519471,0.000847537,0.4603911,0.000068973,0.0004623926,0.000337473,0.002231949,0.002068192,0.0001931501,0.4445554,0.008278846,0.07991302],"study_design_scores_gemma":[0.003100897,0.0001836236,0.1483353,0.00008853438,0.00002367206,0.0007005877,0.0001762587,0.002781444,0.001765198,0.1438343,0.6982492,0.0007609252],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9828094,0.001431409,0.001030011,0.001929426,0.003604617,0.00005713732,0.0001602548,0.00001537705,0.008962361],"genre_scores_gemma":[0.9815996,0.01217088,0.00459073,0.0005205896,0.0009495958,0.00000287733,0.00000856841,0.00003492528,0.0001222672],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6899704,"threshold_uncertainty_score":0.9196693,"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."}}