{"id":"W4400063884","doi":"10.2139/ssrn.4870527","title":"Political Sentiment and Credit Ratings","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Credit Risk and Financial Regulations","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Politics; Sentiment analysis; Credit rating; Political science; Psychology; Business; Financial system; Natural language processing; Computer science; Law","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007770024,0.00009242552,0.0001546222,0.0001620585,0.0001559951,0.0001794134,0.00007832827,0.00005911716,0.00008196254],"category_scores_gemma":[0.00005560962,0.00009569587,0.00008614241,0.000134106,0.00004644487,0.0001842244,0.00002628466,0.0007265606,0.0001642357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004564872,"about_ca_system_score_gemma":0.0002501493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005435721,"about_ca_topic_score_gemma":0.00005695736,"domain_scores_codex":[0.9982332,0.0000065569,0.0003176673,0.00019941,0.00003779842,0.001205386],"domain_scores_gemma":[0.9997198,0.00003228146,0.00005643727,0.00008092358,0.0000149214,0.00009564817],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000002850784,0.00001295629,0.004184136,0.000004718565,0.00004010922,0.000003471267,0.00008055269,0.000002731162,0.000007902479,0.9896564,0.0002272097,0.005776989],"study_design_scores_gemma":[0.0001580972,0.00009010743,0.007169321,0.00001168695,0.000009449221,0.0002504581,0.0001847092,0.002843049,0.000007135086,0.9372405,0.05191365,0.0001218621],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7203925,0.08276181,0.1384197,0.01336001,0.002425518,0.0002325617,0.00005641817,0.0001422598,0.04220926],"genre_scores_gemma":[0.9942472,0.001658378,0.0001289819,0.00002963133,0.0009058501,0.000003698565,0.000003720978,0.00001696535,0.003005599],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2738547,"threshold_uncertainty_score":0.3902364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01089087738243009,"score_gpt":0.2261893504973811,"score_spread":0.215298473114951,"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."}}