{"id":"W7095402854","doi":"","title":"Credit, Asset Prices, and Financial Stress in Canada","year":2008,"lang":"en","type":"article","venue":"","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Asset (computer security); Financial asset; Empirical research; Empirical evidence; Stress (linguistics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009033603,0.0002739206,0.0005424522,0.002830803,0.002881122,0.003404376,0.001032395,0.0007175034,0.01451478],"category_scores_gemma":[0.007085481,0.0002997629,0.0003441151,0.009877813,0.001107164,0.0008473308,0.0009581965,0.00143347,0.0005571698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05387156,"about_ca_system_score_gemma":0.06076997,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9980008,"about_ca_topic_score_gemma":0.9984044,"domain_scores_codex":[0.9992504,0.00003813716,0.00005209972,0.00006096892,0.000351445,0.0002470561],"domain_scores_gemma":[0.9932328,0.0008457055,0.001014166,0.0001448994,0.003458157,0.001304295],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002658754,0.0001148536,0.8300347,0.0002268346,0.0001413594,0.0003384938,0.002775254,0.002399944,0.0001454746,0.01958668,0.09848118,0.04548924],"study_design_scores_gemma":[0.00004587436,0.00001288058,0.963397,0.0002577237,0.00006838037,0.00005813266,0.001942191,0.002196141,0.000106813,0.002804199,0.02904921,0.00006142427],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8009207,0.02461288,0.0004133185,0.04245676,0.0003820126,0.0001201595,0.07329921,0.0001010532,0.05769387],"genre_scores_gemma":[0.9699537,0.007932798,0.0002394578,0.0005283417,0.00007527254,0.00002074107,0.007818732,0.00001964364,0.01341132],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05387156,"threshold_uncertainty_score":0.3908674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01676829992151872,"score_gpt":0.1901371182191766,"score_spread":0.1733688182976579,"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."}}