{"id":"W4403729015","doi":"10.2139/ssrn.4958808","title":"The Politicization of Credit Ratings Agencies&amp;nbsp;","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Credit rating; Political science; Business; Financial system; Psychology; Public administration; Actuarial science","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":[0.01893787,0.0002297445,0.0004525285,0.001833276,0.002741012,0.01047921,0.0007827646,0.004117924,0.01056271],"category_scores_gemma":[0.06494428,0.0005246166,0.0004465632,0.002383115,0.003635498,0.00321324,0.001125479,0.004970726,0.002149615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009183123,"about_ca_system_score_gemma":0.007164878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01589803,"about_ca_topic_score_gemma":0.01966698,"domain_scores_codex":[0.9816481,0.008415002,0.0007085675,0.002954722,0.004311645,0.00196191],"domain_scores_gemma":[0.9481086,0.02206399,0.008380912,0.004987007,0.01264334,0.003816087],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001710058,0.00008154586,0.01156772,0.00006632894,0.00005827864,0.00006500435,0.0007894825,0.001361464,0.00101843,0.8782367,0.06382736,0.04275659],"study_design_scores_gemma":[0.0001932179,0.0001503041,0.1094785,0.0003448036,0.0001191499,0.0003061596,0.001660009,0.01548736,0.003412971,0.4064571,0.4622205,0.0001699643],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1625236,0.008943823,0.03077467,0.1120558,0.001727755,0.0002013487,0.001491341,0.0004332585,0.6818485],"genre_scores_gemma":[0.9557896,0.001046244,0.002146663,0.006351357,0.0008617476,0.00005760606,0.0001255476,0.0001053,0.033516],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01893787,"threshold_uncertainty_score":0.1001542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01956053271728115,"score_gpt":0.2439559260636519,"score_spread":0.2243953933463708,"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."}}