{"id":"W1499893511","doi":"","title":"Mortgage Debt and Procyclicality in the Housing Market","year":2011,"lang":"en","type":"article","venue":"Bank of Canada review","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Collateral; Boom; Economics; Debt; Volatility (finance); Monetary economics; Loan-to-value ratio; House price; Loan; Value (mathematics); Financial system; Financial economics; Mortgage insurance; Finance","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007836777,0.0001477774,0.0003534595,0.0008205911,0.0002985283,0.001801546,0.0003353642,0.0005061117,0.001238331],"category_scores_gemma":[0.003974096,0.0001676484,0.0002313694,0.001345362,0.001240402,0.0008878536,0.0004032675,0.0006398384,0.000109315],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002244336,"about_ca_system_score_gemma":0.0009950361,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05462382,"about_ca_topic_score_gemma":0.0601017,"domain_scores_codex":[0.9998078,0.00004621346,0.00001501749,0.00002329048,0.00006631754,0.00004146426],"domain_scores_gemma":[0.9979156,0.0007246766,0.0008565815,0.00008913271,0.0002970204,0.000116972],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0007161377,0.0001418025,0.3075918,0.001020528,0.0004022628,0.003128762,0.001680883,0.0628868,0.009912029,0.4203598,0.01573262,0.1764265],"study_design_scores_gemma":[0.0001157486,0.0002174671,0.6915835,0.000323344,0.0002984776,0.001187739,0.001270616,0.07582904,0.003048782,0.178011,0.04801268,0.0001016091],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9106041,0.04148974,0.006493956,0.005415104,0.00008763994,0.00002928272,0.0004742667,0.00006625902,0.03533974],"genre_scores_gemma":[0.9837344,0.01388051,0.0002472782,0.00008824664,0.0001011184,0.000002360065,0.000058767,0.000005203774,0.001882154],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9977556,"threshold_uncertainty_score":0.1086118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04386658395019193,"score_gpt":0.207425494664551,"score_spread":0.163558910714359,"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."}}