{"id":"W3122803637","doi":"10.3390/jrfm12010039","title":"The Global Legal Entity Identifier System: How Can It Deliver?","year":2019,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Alfred P. Sloan Foundation","keywords":"Counterparty; Identification (biology); Business; Identifier; Process (computing); Risk management; Investment (military); Risk analysis (engineering); Credit risk; Finance; Computer science; Political science","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":[0.1517836,0.001293505,0.001555106,0.01185969,0.00460882,0.01802475,0.005263089,0.008408965,0.01740007],"category_scores_gemma":[0.2337229,0.00128225,0.001403633,0.01149562,0.01015411,0.07367641,0.01325067,0.007708957,0.01728046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007332966,"about_ca_system_score_gemma":0.01939163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01303418,"about_ca_topic_score_gemma":0.007778857,"domain_scores_codex":[0.932112,0.04551827,0.003900925,0.002671963,0.01257531,0.00322152],"domain_scores_gemma":[0.8418825,0.07288791,0.009631338,0.02520755,0.04191386,0.00847683],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001094581,0.0001667449,0.01493862,0.001107415,0.0000402392,0.0002404304,0.008547951,0.0006408116,0.0005166464,0.3250642,0.1826664,0.4659611],"study_design_scores_gemma":[0.00005809988,0.0002762346,0.009229591,0.004562082,0.000083417,0.0006624854,0.01625308,0.003195963,0.001468491,0.1643438,0.7996151,0.0002516346],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01436738,0.01633184,0.1544691,0.6741537,0.00547062,0.001103278,0.002487299,0.004424776,0.1271921],"genre_scores_gemma":[0.2867686,0.04214831,0.5421916,0.06888471,0.005269903,0.00470636,0.009291187,0.005049984,0.0356894],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1517836,"threshold_uncertainty_score":0.8027178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003852927155710065,"score_gpt":0.1807866641237718,"score_spread":0.1769337369680617,"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."}}