{"id":"W2889564371","doi":"10.3386/w25048","title":"Macroprudential Policy with Leakages","year":2018,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Monetary economics; Computer science; Economics; Business","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003420892,0.0007609697,0.001268388,0.0004825242,0.0008751841,0.003248994,0.001224356,0.00234626,0.007348616],"category_scores_gemma":[0.01472782,0.000654959,0.001159685,0.0005119389,0.002949237,0.003800699,0.003195778,0.002916782,0.0006430623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002298384,"about_ca_system_score_gemma":0.002264479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002628617,"about_ca_topic_score_gemma":0.001527827,"domain_scores_codex":[0.997753,0.0008426962,0.0000958028,0.0004576354,0.0003139313,0.0005370859],"domain_scores_gemma":[0.9944693,0.002220121,0.001361852,0.001137856,0.0004602669,0.0003506757],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001899379,0.0001727188,0.001876202,0.0001258227,0.00005968882,0.0003194833,0.0001820499,0.2439104,0.002624873,0.7327442,0.003225819,0.01456884],"study_design_scores_gemma":[0.0001010866,0.0001553863,0.0009183554,0.00004945536,0.00005257742,0.0001097015,0.0001290618,0.3822606,0.001921995,0.6085563,0.005709453,0.00003594884],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2894097,0.0008197687,0.628096,0.007686219,0.0002369503,0.0002477642,0.000487736,0.0008513245,0.07216451],"genre_scores_gemma":[0.9810861,0.0002470035,0.00991549,0.000358462,0.0000458827,0.00007988017,0.00003838925,0.00005878188,0.008169984],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007348616,"threshold_uncertainty_score":0.02458358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2480618588511445,"score_gpt":0.4707867912769366,"score_spread":0.2227249324257921,"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."}}