{"id":"W4312958816","doi":"10.2139/ssrn.4286208","title":"A Text Analysis for Operational Risk Loss Descriptions","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Risk analysis (engineering); Operational risk; Data science; Medicine; Risk management; Business","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":[0.004191001,0.001007239,0.0005462426,0.013356,0.001511564,0.003405636,0.001233129,0.0007527443,0.04117559],"category_scores_gemma":[0.02781816,0.0003997095,0.0017985,0.007245738,0.0007044962,0.004439348,0.001482782,0.001264115,0.01011167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001601618,"about_ca_system_score_gemma":0.002890939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004632235,"about_ca_topic_score_gemma":0.002720728,"domain_scores_codex":[0.993087,0.001556761,0.001146421,0.000604021,0.003299468,0.0003062679],"domain_scores_gemma":[0.9614695,0.02136018,0.002849893,0.002426794,0.01141511,0.0004785576],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00189281,0.0005328709,0.01411672,0.002202675,0.0002181141,0.001312239,0.002938391,0.007971574,0.02364326,0.06177544,0.07181608,0.8115799],"study_design_scores_gemma":[0.0004846086,0.001697288,0.04303082,0.001906189,0.001082585,0.003145908,0.009868407,0.3408757,0.09489512,0.119504,0.3828927,0.0006166192],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08959939,0.0009173852,0.7466791,0.002106713,0.0004847058,0.00488687,0.07444384,0.01978458,0.06109745],"genre_scores_gemma":[0.3106866,0.0005409869,0.6107565,0.0003278968,0.0003395196,0.0022162,0.04333642,0.002321462,0.02947445],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04117559,"threshold_uncertainty_score":0.137746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04169290074504069,"score_gpt":0.3379048870035948,"score_spread":0.2962119862585541,"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."}}