{"id":"W2548289245","doi":"10.1111/ecin.12754","title":"MANAGING RISK TAKING WITH INTEREST RATE POLICY AND MACROPRUDENTIAL REGULATIONS","year":2018,"lang":"en","type":"article","venue":"Economic Inquiry","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bank of Canada; University of Alberta; Western University","funders":"Social Sciences and Humanities Research Council of Canada; Western University","keywords":"Leverage (statistics); Economics; Interest rate; Monetary economics; Capital requirement; Macroprudential regulation; Systemic risk; Macroeconomics; Microeconomics; Financial crisis; Incentive","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000819953,0.0001806303,0.0002835147,0.0004017805,0.0003691963,0.0001848567,0.0002008312,0.00008178413,0.0004456724],"category_scores_gemma":[0.0001423021,0.000210066,0.00005329543,0.0001742703,0.0005916077,0.0004047526,0.0001330125,0.0001259769,0.0005988756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003086806,"about_ca_system_score_gemma":0.00004834566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007181787,"about_ca_topic_score_gemma":0.0006370678,"domain_scores_codex":[0.9984411,0.00003499373,0.000550631,0.0006110342,0.00001786566,0.0003443733],"domain_scores_gemma":[0.9985213,0.00007200285,0.0008090187,0.0004986303,0.00002801556,0.00007101657],"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":[0.00005654615,0.00005156076,0.2800702,0.00002634046,0.0001041926,0.000002191794,0.004517407,0.001288593,0.00002281519,0.7009149,0.0004828029,0.01246238],"study_design_scores_gemma":[0.0009653222,0.0001523736,0.8318135,0.00003442718,0.00001757852,0.00002664566,0.0002260233,0.02576586,0.0001718329,0.1231968,0.01709167,0.0005379368],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9696845,0.0001894535,0.01784433,0.0006211029,0.001166551,0.0001967566,0.00005315372,0.00007301635,0.01017116],"genre_scores_gemma":[0.9961599,0.00006472875,0.001171238,0.0001063189,0.001938836,0.00001168656,0.00001038593,0.00003835203,0.0004985308],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5777181,"threshold_uncertainty_score":0.8566245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03768275370002463,"score_gpt":0.2733268572297883,"score_spread":0.2356441035297637,"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."}}