{"id":"W2052469708","doi":"10.1147/sj.462.0219","title":"Optimized enterprise risk management","year":2007,"lang":"en","type":"article","venue":"IBM Systems Journal","topic":"Business Process Modeling and Analysis","field":"Business, Management and Accounting","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"IBM (Canada)","funders":"","keywords":"Enterprise risk management; Risk management; IT risk management; Risk analysis (engineering); Enterprise planning system; Risk management framework; Process management; Business; Digital firm; Maturity (psychological); Project risk management; Enterprise relationship management; Risk management plan; Enterprise data management; Enterprise software; Project management; Engineering; Systems engineering; Project management triangle; Finance; Service (business); Marketing","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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.002498008,0.0002357003,0.0003471848,0.0007180827,0.0005276256,0.001084042,0.0003628913,0.0000801963,0.0001540276],"category_scores_gemma":[0.00005312812,0.0001910559,0.0002206844,0.0006324839,0.0000290487,0.0009606437,0.0001132162,0.0003330775,0.0003701742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006098001,"about_ca_system_score_gemma":0.00001170289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003172064,"about_ca_topic_score_gemma":0.000007219192,"domain_scores_codex":[0.9980082,0.00001865705,0.0007255393,0.0002713746,0.0004847863,0.0004914408],"domain_scores_gemma":[0.9985774,0.00002743964,0.0007483763,0.0002221352,0.0003821525,0.00004254511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001550491,0.001368439,0.1647037,0.003274561,0.003873305,0.002803024,0.000543302,0.3788687,0.0002010494,0.0181198,0.05163266,0.3730609],"study_design_scores_gemma":[0.009535062,0.00002988692,0.01026776,0.001511562,0.002675956,0.0005999145,0.005314694,0.4514545,0.00002283407,0.005723148,0.5106826,0.002182032],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1008771,0.001641062,0.816933,0.0002488348,0.00334211,0.0002697409,0.000002336548,0.0002791519,0.07640671],"genre_scores_gemma":[0.9931742,0.0001942837,0.00145357,0.0002960709,0.003737631,0.000006743627,0.000006663141,0.00004021717,0.001090648],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8922971,"threshold_uncertainty_score":0.9999529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0115538331434749,"score_gpt":0.2252498282071591,"score_spread":0.2136959950636842,"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."}}