{"id":"W4379259181","doi":"10.5267/j.dsl.2023.4.007","title":"Enterprise risk management: A bibliometric analysis of research Trends","year":2023,"lang":"en","type":"article","venue":"Decision Science Letters","topic":"Risk Management in Financial Firms","field":"Business, Management and Accounting","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Library science; Pace; Enterprise risk management; Web of science; Impact factor; Bibliometrics; Original research; Political science; Risk management; Management; Computer science; Geography; Economics; MEDLINE; Law","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":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.005094941,0.0004238023,0.001021497,0.133992,0.001167634,0.00484176,0.0005687133,0.000573492,0.002146776],"category_scores_gemma":[0.02112401,0.0002197771,0.001200167,0.1792014,0.0004668049,0.004059297,0.002048365,0.0004255922,0.0008847952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001847135,"about_ca_system_score_gemma":0.002740783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005754206,"about_ca_topic_score_gemma":0.006130095,"domain_scores_codex":[0.9931307,0.001099546,0.001526386,0.0006026186,0.00327339,0.0003673306],"domain_scores_gemma":[0.9786946,0.01008765,0.004703456,0.0009275433,0.005078434,0.0005083461],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001866679,0.0001615875,0.6720756,0.00337851,0.0006483106,0.0004237253,0.004023633,0.001402356,0.001816767,0.005488939,0.0158502,0.2945437],"study_design_scores_gemma":[0.00002410101,0.0001739005,0.9314628,0.0007652757,0.00040876,0.0009700937,0.007218708,0.006654353,0.001381045,0.002830103,0.04802444,0.00008622594],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8811991,0.0238135,0.006464659,0.002763707,0.0001965385,0.0005427038,0.04943002,0.0006503697,0.03493939],"genre_scores_gemma":[0.9380344,0.01507775,0.01080229,0.0001329897,0.0003616159,0.0005244024,0.03240814,0.00009594305,0.002562541],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.866008,"threshold_uncertainty_score":0.02694499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05852975160817442,"score_gpt":0.3644310231692502,"score_spread":0.3059012715610758,"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."}}