{"id":"W4308177511","doi":"10.5539/ijef.v14n12p40","title":"Alignment Vetting of Bloomberg’s ISS: QualityScore [GQS]: Frequency of Provision of ESG & Related Disclosure Scores","year":2022,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Securities Regulation and Market Practices","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"State University of New York","keywords":"Vetting; Corporate governance; Context (archaeology); Business; Accounting; Stakeholder; Public relations; Computer science; Political science; Finance; Computer security; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03874626,0.0005209171,0.0006672251,0.005503086,0.001127495,0.002672397,0.001152597,0.001223149,0.01224128],"category_scores_gemma":[0.1829394,0.0002932411,0.0004872367,0.005149141,0.001140064,0.002611027,0.003343652,0.001514703,0.004020186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002726454,"about_ca_system_score_gemma":0.003091689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00360858,"about_ca_topic_score_gemma":0.004542811,"domain_scores_codex":[0.9458722,0.02283699,0.008034869,0.003560436,0.0173581,0.002337409],"domain_scores_gemma":[0.7806429,0.08925395,0.05929046,0.02120436,0.04469197,0.004916337],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00130472,0.0004462427,0.5816278,0.0008044757,0.0001363183,0.0001920802,0.008340013,0.00112086,0.001906096,0.01596535,0.1354824,0.2526737],"study_design_scores_gemma":[0.0001986075,0.0007487234,0.7702932,0.0008652023,0.00006772704,0.0003291644,0.0100047,0.007105509,0.009500459,0.01032336,0.1903605,0.0002027788],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7898808,0.001134055,0.02595444,0.01067603,0.00112433,0.005684308,0.05633003,0.00247118,0.1067448],"genre_scores_gemma":[0.9413168,0.0003241448,0.02292205,0.001388286,0.0002663131,0.004892194,0.01858115,0.0003043883,0.01000462],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03874626,"threshold_uncertainty_score":0.2049123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01698467722827176,"score_gpt":0.2478044118470641,"score_spread":0.2308197346187923,"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."}}