{"id":"W4296551064","doi":"10.2139/ssrn.4211968","title":"Sell-Side Analysts’ Assessment of Operational Risk: Evidence from Negative ESG Incidents","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Risk Management in Financial Firms","field":"Business, Management and Accounting","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Business; 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":[0.003501533,0.0002914948,0.0001738008,0.001555127,0.0005127408,0.001243713,0.0005359194,0.001085621,0.001575306],"category_scores_gemma":[0.04081357,0.0001616031,0.0001122664,0.0007515802,0.0007915531,0.001370339,0.0009252892,0.001232106,0.0004101506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002921378,"about_ca_system_score_gemma":0.000403425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00324809,"about_ca_topic_score_gemma":0.002960347,"domain_scores_codex":[0.9979169,0.0007929282,0.0001693229,0.0001698803,0.0008326579,0.0001184511],"domain_scores_gemma":[0.9433633,0.03137119,0.01357876,0.00255662,0.007882749,0.001247509],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001425556,0.0007639818,0.9387953,0.00008890715,0.0001196033,0.001019851,0.01245211,0.0008700103,0.003368873,0.001680595,0.002747942,0.03666738],"study_design_scores_gemma":[0.00007801133,0.0012672,0.9515783,0.0001465705,0.0001323668,0.00139473,0.02426168,0.004522793,0.006114018,0.00366174,0.006777505,0.00006501762],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949569,0.0000628713,0.0002797075,0.0001923262,0.0000122635,0.000006694801,0.00006209841,0.000006660177,0.004420493],"genre_scores_gemma":[0.999092,0.00008031129,0.0002379334,0.00005930209,0.00001409815,0.000004668979,0.00009297624,0.000005177437,0.0004135832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003501533,"threshold_uncertainty_score":0.01851809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01413229452322796,"score_gpt":0.2625510043753652,"score_spread":0.2484187098521373,"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."}}