{"id":"W6981523402","doi":"","title":"An Empirical Analysis of Regulatory Risk in the Banking Industry","year":2018,"lang":"en","type":"other","venue":"Nottingham ePrints (University of Nottingham)","topic":"Nausea and vomiting management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Enforcement; Deposit insurance; Currency; Misconduct; Sample (material); Banking industry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002633065,0.0001452642,0.0002481168,0.002112699,0.0004935546,0.001820434,0.0005687488,0.0009600391,0.005857467],"category_scores_gemma":[0.02792822,0.000146604,0.0004421574,0.002402993,0.00118868,0.001071306,0.0008621711,0.001734134,0.0005760764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00121794,"about_ca_system_score_gemma":0.001699918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01652793,"about_ca_topic_score_gemma":0.01488131,"domain_scores_codex":[0.9973597,0.0008871714,0.0002149687,0.0002611272,0.0007754524,0.0005016488],"domain_scores_gemma":[0.9233782,0.03220388,0.03558122,0.001768269,0.003208996,0.003859378],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005055442,0.0001792689,0.9902447,0.00002083428,0.00003855382,0.0001279262,0.0003065212,0.0004732156,0.00007360866,0.001101516,0.0003166465,0.007066695],"study_design_scores_gemma":[0.000004621528,0.0000682422,0.9956048,0.00003065758,0.00002381434,0.00009393619,0.001062297,0.001597462,0.00007549972,0.0004609054,0.000970598,0.00000714833],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9880508,0.0009094652,0.0005814538,0.001361679,0.00001100659,0.00004647916,0.0002107735,0.00001347153,0.008815061],"genre_scores_gemma":[0.9984853,0.0003119229,0.00009301616,0.00007096611,0.00002459888,0.000007367294,0.0001183414,0.000001696356,0.0008868049],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01652793,"threshold_uncertainty_score":0.03286344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02811511800304122,"score_gpt":0.2988212970446524,"score_spread":0.2707061790416112,"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."}}