{"id":"W4388505500","doi":"10.2139/ssrn.4599299","title":"Losses, Risks and Reputation: Bolstering the Bank of Canada for the Road Ahead","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Reputation; Business; Finance; Transport engineering; Engineering; Political science; Law","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":[0.006335163,0.0005281113,0.0008135283,0.002446809,0.01748946,0.02361063,0.002050502,0.01104145,0.01676712],"category_scores_gemma":[0.03372954,0.0004415187,0.0004775324,0.003036036,0.01159646,0.007898749,0.00549464,0.009045693,0.000894972],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1109478,"about_ca_system_score_gemma":0.2847409,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9849716,"about_ca_topic_score_gemma":0.9903567,"domain_scores_codex":[0.9931004,0.0009476621,0.0001397856,0.0004502835,0.002621535,0.002740206],"domain_scores_gemma":[0.9760827,0.0039597,0.001720092,0.0007206855,0.009774971,0.007741788],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002202574,0.00005841753,0.01345511,0.0001528632,0.00005043028,0.0002695342,0.005391228,0.001497519,0.0001961446,0.6229579,0.310787,0.04496359],"study_design_scores_gemma":[0.000153034,0.00008195141,0.04467459,0.001311707,0.0002074297,0.000112867,0.02393796,0.004066166,0.0006357188,0.2619678,0.6624046,0.0004461321],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.07837686,0.01483973,0.001754065,0.7096014,0.001582018,0.00006048912,0.0006852456,0.0001431749,0.192957],"genre_scores_gemma":[0.9104849,0.005360653,0.0009096572,0.02646877,0.0004889994,0.00002280468,0.0001021195,0.00008938908,0.05607275],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8890522,"threshold_uncertainty_score":0.8049867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02758114665725123,"score_gpt":0.304979984645108,"score_spread":0.2773988379878568,"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."}}