{"id":"W3121592859","doi":"10.3390/jrfm11020027","title":"Credit Rating and Pricing: Poles Apart","year":2018,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Credit Risk and Financial Regulations","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Credit rating; Capital asset pricing model; Corporate bond; Information asymmetry; Bond credit rating; Credit risk; Economics; Bond; Structured finance; Financial economics; BETA (programming language); Systematic risk; Econometrics; Credit spread (options); Monte Carlo method; Business; Actuarial science; Finance; Credit reference; Statistics; Mathematics; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000645105,0.0001176871,0.0003179372,0.0002999552,0.0002780768,0.00007867921,0.0001028062,0.00006224352,0.00002537238],"category_scores_gemma":[0.0002019988,0.0001176932,0.00007153073,0.0002046399,0.000129825,0.0002102291,0.00008522022,0.0001463265,0.00001742105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002866677,"about_ca_system_score_gemma":0.00001187997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005111723,"about_ca_topic_score_gemma":0.00003188755,"domain_scores_codex":[0.9989403,0.00001034819,0.0006158793,0.0001834589,0.00005818325,0.0001918105],"domain_scores_gemma":[0.9991176,0.00003813257,0.0005736036,0.0001177669,0.00006489951,0.00008803296],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0000903648,0.00009075102,0.2596176,0.00003587819,0.00003671276,0.00002448494,0.001994854,0.00001448255,0.000008469744,0.4694034,0.004354826,0.2643282],"study_design_scores_gemma":[0.0005837337,0.0002141317,0.6369152,0.00004000219,0.00002646312,0.00001443349,0.0001653531,0.0001881603,0.00001330945,0.03542325,0.3262772,0.0001388141],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9125926,0.003767047,0.07379423,0.0002351598,0.001076448,0.0001443941,0.00003336597,0.00001215115,0.008344616],"genre_scores_gemma":[0.9903454,0.003556192,0.004511486,0.00005383189,0.001305193,0.000002286731,9.028756e-7,0.00001098771,0.000213678],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4339801,"threshold_uncertainty_score":0.479939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01413819993284411,"score_gpt":0.2112745016961007,"score_spread":0.1971363017632566,"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."}}