{"id":"W2936589802","doi":"10.34989/san-2018-17","title":"Measuring Vulnerabilities in the Non-Financial Corporate Sector Using Industry- and Firm-Level Data","year":2021,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"State Capitalism and Financial Governance","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Shock (circulatory); Business; Debt; Financial sector; Financial system; Monetary economics; Corporate debt; Finance; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001502987,0.0002907241,0.0002240538,0.005025487,0.0004020523,0.001433018,0.0003470352,0.0003911777,0.002007397],"category_scores_gemma":[0.008794026,0.0001298903,0.0003019379,0.006486047,0.0003618744,0.00119818,0.00151437,0.0005967393,0.0004730753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001114528,"about_ca_system_score_gemma":0.001387606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03728193,"about_ca_topic_score_gemma":0.05873439,"domain_scores_codex":[0.9986362,0.0002669205,0.0001743824,0.0001652258,0.0004582668,0.0002990554],"domain_scores_gemma":[0.9757926,0.003813075,0.01504482,0.0009021055,0.002884683,0.00156264],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000009761121,0.00003406703,0.9946703,0.00001758485,0.00004045378,0.00003262659,0.0001679828,0.000741626,0.0001647543,0.0004140895,0.000598179,0.003108417],"study_design_scores_gemma":[0.000002140984,0.00002841676,0.9959174,0.0000153482,0.00001546311,0.00003539043,0.0005207398,0.00131337,0.0003664856,0.0003627198,0.001414265,0.000008364852],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890344,0.0001683519,0.0005345493,0.0001903939,0.000004786661,0.00003800063,0.005488659,0.00001467625,0.004526052],"genre_scores_gemma":[0.9919704,0.0001699308,0.0004592981,0.00002472649,0.00001207685,0.00003117428,0.006621036,0.000002865386,0.0007084631],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03728193,"threshold_uncertainty_score":0.07412988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2008835877327701,"score_gpt":0.2773245309240304,"score_spread":0.0764409431912603,"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."}}