{"id":"W3125559378","doi":"","title":"Default Risk in Corporate Yield Spreads","year":2005,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Credit Risk and Financial Regulations","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Héma-Québec; Business Development Bank of Canada; HEC Montréal","funders":"","keywords":"Default risk; Yield (engineering); Credit risk; Credit rating; Credit spread (options); Economics; Econometrics; Loss given default; Fraction (chemistry); Default; Financial economics; Probability of default; Actuarial science; Finance; Microeconomics","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":[0.004414169,0.0002927322,0.0006534857,0.002117528,0.0002722086,0.001609348,0.0007655009,0.0009732196,0.002693486],"category_scores_gemma":[0.06587137,0.0003778653,0.0005033507,0.001751266,0.001150333,0.002888822,0.001023661,0.001428057,0.0005441316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005291487,"about_ca_system_score_gemma":0.0001396583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001467593,"about_ca_topic_score_gemma":0.0006671851,"domain_scores_codex":[0.9982305,0.0004796781,0.0001706961,0.0005250158,0.0004651147,0.0001290551],"domain_scores_gemma":[0.9569821,0.0276549,0.009201249,0.003844136,0.001848467,0.00046908],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008663809,0.0001547363,0.5641823,0.0002933448,0.0005441629,0.001211731,0.001802744,0.1534259,0.008439035,0.105726,0.002817428,0.1605362],"study_design_scores_gemma":[0.00004103617,0.0001539982,0.5852821,0.0001809151,0.0001701978,0.001530464,0.0004378606,0.2200355,0.006694015,0.1822587,0.003073029,0.0001422005],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9307809,0.002105028,0.05925244,0.000516362,0.00002496181,0.00003516388,0.0006376544,0.0002652782,0.006382154],"genre_scores_gemma":[0.9979163,0.0003467509,0.001033731,0.00002190595,0.00002112765,0.00000619549,0.0001778421,0.00001277837,0.0004633265],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004414169,"threshold_uncertainty_score":0.02334464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07809161201231246,"score_gpt":0.293899916475196,"score_spread":0.2158083044628836,"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."}}