{"id":"W3034066515","doi":"10.1016/j.irfa.2020.101610","title":"Evaluating corporate credit risks in emerging markets","year":2020,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Credit Risk and Financial Regulations","field":"Economics, Econometrics and Finance","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Emerging markets; Leverage (statistics); Business; Credit default swap; Monetary economics; Financial crisis; Financial system; Corporate governance; Credit risk; Economics; Finance","routes":{"ca_aff":true,"ca_fund":true,"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":[0.007261808,0.0006033708,0.0007458345,0.002388431,0.000238681,0.002981459,0.0005423778,0.001151975,0.0007930782],"category_scores_gemma":[0.02258571,0.0001882519,0.0003643262,0.001890314,0.0008844778,0.002311083,0.0005119379,0.001387162,0.0001425927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001143112,"about_ca_system_score_gemma":0.001162314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005700943,"about_ca_topic_score_gemma":0.005837572,"domain_scores_codex":[0.9981421,0.0009209826,0.0001596454,0.0001091154,0.0005742261,0.00009390438],"domain_scores_gemma":[0.9840171,0.0101583,0.00253226,0.0003020436,0.002511912,0.0004783595],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004316535,0.0003847471,0.3360031,0.0006803477,0.000853593,0.000476177,0.0002416918,0.1875034,0.002136115,0.06945438,0.01427912,0.3875557],"study_design_scores_gemma":[0.0001154775,0.0004981277,0.2223613,0.001061632,0.0004677284,0.0002891949,0.0009297212,0.54403,0.004405912,0.2068082,0.01891386,0.0001187979],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7142824,0.160222,0.09310499,0.009404845,0.0005778025,0.0001274133,0.000699588,0.0001867454,0.02139417],"genre_scores_gemma":[0.963407,0.02980116,0.004828148,0.0001229121,0.0003629017,0.00001319898,0.0002891603,0.00001275552,0.001162758],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007261808,"threshold_uncertainty_score":0.03840458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1585352875204466,"score_gpt":0.3553291185629601,"score_spread":0.1967938310425134,"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."}}