{"id":"W4366401408","doi":"10.21034/iwp.70","title":"Monetary Policy with Racial Inequality","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Economics; Monetary policy; Inequality; Economic inequality; Asset (computer security); White (mutation); Monetary economics; Fiscal policy; Labour economics","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":[0.0007438489,0.0005673743,0.0006574494,0.0003747041,0.000642725,0.002246282,0.0006483257,0.001555812,0.006676023],"category_scores_gemma":[0.003994723,0.0003056282,0.0006782277,0.0003685043,0.001002193,0.001924037,0.001291843,0.001623926,0.0005254188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001226284,"about_ca_system_score_gemma":0.0007417076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007431991,"about_ca_topic_score_gemma":0.003628745,"domain_scores_codex":[0.9996951,0.0001163319,0.000009278218,0.00006494483,0.0000374927,0.00007679348],"domain_scores_gemma":[0.9988675,0.000464814,0.0003963303,0.00006834001,0.00008013749,0.0001229976],"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":[0.0001630842,0.0001066374,0.0065445,0.0000753268,0.00007403911,0.0004657283,0.0002358263,0.2968916,0.0006086428,0.6784927,0.004579067,0.01176281],"study_design_scores_gemma":[0.0002003758,0.0001082417,0.00324416,0.0000687731,0.00006946961,0.0001295873,0.0001702154,0.6470231,0.0003058036,0.3381892,0.01045608,0.0000349683],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5567061,0.006058821,0.2690965,0.03532804,0.001183503,0.0001065296,0.001331532,0.0002134231,0.1299756],"genre_scores_gemma":[0.9727612,0.001256075,0.004197713,0.0005247419,0.0003412061,0.00004217499,0.0000993204,0.0000155725,0.02076205],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007431991,"threshold_uncertainty_score":0.0223335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1555586159913769,"score_gpt":0.278355121994634,"score_spread":0.1227965060032571,"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."}}