{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00377013,0.0006744508,0.0005631982,0.001127544,0.0007273943,0.004373169,0.001246437,0.0009059384,0.003947924],"category_scores_gemma":[0.00692846,0.0002741409,0.0005041661,0.0008773237,0.0007692599,0.003104683,0.002778699,0.001020533,0.0007949697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001791721,"about_ca_system_score_gemma":0.002764062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001483549,"about_ca_topic_score_gemma":0.001449314,"domain_scores_codex":[0.9962618,0.001310245,0.0002363623,0.0004639141,0.001363202,0.0003645035],"domain_scores_gemma":[0.9975096,0.0007583771,0.0003720231,0.0005438424,0.0006742705,0.0001418339],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001307251,0.0001713562,0.003689402,0.0001793821,0.0001216608,0.0002265581,0.0007132132,0.2550339,0.006842581,0.4860954,0.008848728,0.237947],"study_design_scores_gemma":[0.00003630362,0.0001374722,0.002348902,0.0001141205,0.0000909392,0.0002200255,0.0005002926,0.4523318,0.005710971,0.4912484,0.04719781,0.00006288622],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0476917,0.00156416,0.8879341,0.00279399,0.0001034094,0.0002245097,0.0002071415,0.0009281777,0.05855279],"genre_scores_gemma":[0.7387024,0.001169225,0.2462777,0.0002347913,0.00009700606,0.0001623148,0.0002975761,0.0001674675,0.01289147],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004373169,"threshold_uncertainty_score":0.01993859,"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."}}