{"id":"W3180397726","doi":"10.3390/jrfm14070312","title":"Catch the Heterogeneity: The New Bank-Tailored Integrated Rating","year":2021,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Credit Risk and Financial Regulations","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Downside risk; Business; Frontier; Financial crisis; Normative; Financial market; Economics; Actuarial science; Finance; Macroeconomics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.007433395,0.0007088468,0.001201924,0.001536909,0.0005524131,0.00297832,0.001748625,0.001013698,0.004105936],"category_scores_gemma":[0.02671951,0.0003741489,0.0006697486,0.00152542,0.0006948794,0.003072919,0.002188209,0.002016719,0.001283389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006661491,"about_ca_system_score_gemma":0.001190569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001858502,"about_ca_topic_score_gemma":0.00198031,"domain_scores_codex":[0.9920955,0.003550716,0.0005097191,0.001292771,0.00217061,0.0003806639],"domain_scores_gemma":[0.9869848,0.004530158,0.002202706,0.002626995,0.003086369,0.000568921],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005689927,0.0003941339,0.04198661,0.0003773134,0.0003448579,0.0003808443,0.001105084,0.06984012,0.008767828,0.1119805,0.02080025,0.7434535],"study_design_scores_gemma":[0.0001549417,0.0009640768,0.03642458,0.0002265241,0.0002928308,0.000797156,0.000577362,0.7869606,0.006340235,0.1289999,0.03798272,0.0002790118],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03757539,0.0005752115,0.9457791,0.000867735,0.0002710983,0.0003605216,0.0004769928,0.0008146401,0.01327927],"genre_scores_gemma":[0.6632981,0.0005214676,0.327009,0.0005367331,0.0006095539,0.0002751346,0.0009328291,0.0002828343,0.006534369],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007433395,"threshold_uncertainty_score":0.03931206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01671175908544319,"score_gpt":0.213235340540651,"score_spread":0.1965235814552079,"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."}}