{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005910044,0.00007019529,0.0002060533,0.0001876074,0.00004364564,0.00003313054,0.0002391431,0.00002325691,0.0001175039],"category_scores_gemma":[0.0001237652,0.00006897435,0.00008794326,0.00006590614,0.00005722384,0.0006638963,0.0001629032,0.00009394121,3.764141e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002937047,"about_ca_system_score_gemma":0.00004028777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001662622,"about_ca_topic_score_gemma":0.00002670633,"domain_scores_codex":[0.9989164,0.00001737249,0.0007584787,0.00009152687,0.000149949,0.00006623083],"domain_scores_gemma":[0.9973183,0.00007896552,0.002268293,0.00007935039,0.0002499074,0.000005223545],"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":[0.0007275806,0.0006008902,0.1427587,0.0002768796,0.0005285167,0.00001800177,0.001414854,0.01749389,0.001536611,0.8092526,0.001198924,0.02419263],"study_design_scores_gemma":[0.00980505,0.0005372615,0.2529135,0.001561688,0.0004089623,0.0003229846,0.006871453,0.03222327,0.002641927,0.3283292,0.3632801,0.001104621],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959019,0.0006006599,0.00003419064,0.00108284,0.0005469629,0.0000603062,0.00001759485,0.000001525364,0.001753949],"genre_scores_gemma":[0.9986355,0.0006587924,0.0003526371,0.00009534525,0.0001176605,0.00000169397,0.00001031485,0.000007098382,0.0001209532],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4809234,"threshold_uncertainty_score":0.2812693,"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."}}