{"id":"W2955066563","doi":"10.1108/ijhma-01-2019-0006","title":"Banks’ lending to public and private sectors and house prices: does bank ownership matter?","year":2019,"lang":"en","type":"article","venue":"International Journal of Housing Markets and Analysis","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Private sector; Loan; House price; Quarter (Canadian coin); Shock (circulatory); Business; Public sector; Financial system; Government (linguistics); Value (mathematics); Monetary economics; Economics; Vector autoregression; Originality; Finance; Economy; Economic growth","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001119185,0.0001286114,0.0003702191,0.001165548,0.00007417666,0.0004769805,0.0001972392,0.00005101725,0.0002864274],"category_scores_gemma":[0.000132214,0.00009727172,0.000111762,0.0004542832,0.00004754277,0.0004668843,0.0001038271,0.0001086434,0.000005401416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009005178,"about_ca_system_score_gemma":0.00001155199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004065438,"about_ca_topic_score_gemma":0.00003187052,"domain_scores_codex":[0.9987896,0.00002965999,0.0005976635,0.0002892247,0.0001296903,0.0001641778],"domain_scores_gemma":[0.9989263,0.0001525583,0.0005763767,0.0001167536,0.0001262714,0.0001017573],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002687773,0.0000342897,0.9923627,0.0000169568,0.0005037726,0.000003240375,0.0003335401,0.0001132953,0.00007740659,0.002331671,0.0000125062,0.004183772],"study_design_scores_gemma":[0.0002952267,0.00003246764,0.9915016,0.00003887108,0.00006951144,0.00001809156,0.0000536139,0.003279721,0.00001954534,0.002085747,0.002446107,0.0001595074],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940242,0.0005906686,0.002927459,0.001722207,0.0002738858,0.0000632247,0.00002115939,0.00001112725,0.0003660398],"genre_scores_gemma":[0.9983237,0.0002328413,0.001106379,0.0001600998,0.00008880218,7.129751e-7,0.000002555837,0.00001272714,0.00007212592],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004299527,"threshold_uncertainty_score":0.4599534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01551126061220195,"score_gpt":0.2298450629412394,"score_spread":0.2143338023290374,"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."}}