{"id":"W2071240213","doi":"10.4018/ijkm.2014040104","title":"Knowledge Management in Support of Enterprise Risk Management","year":2014,"lang":"en","type":"article","venue":"International Journal of Knowledge Management","topic":"Knowledge Management and Sharing","field":"Social Sciences","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Knowledge management; Enterprise risk management; IT risk management; Risk management; Business; Digital firm; Enterprise relationship management; Knowledge sharing; Personal knowledge management; Risk management information systems; Organizational learning; Factor analysis of information risk; Risk analysis (engineering); Process management; Information management; Computer science; Engineering; Information system; Marketing; Management information systems","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004320716,0.000320679,0.0005127213,0.002123681,0.0001643442,0.0001547538,0.002274525,0.00009170766,0.0003750668],"category_scores_gemma":[0.00008541795,0.0003252907,0.000382196,0.0007430408,0.0002050297,0.0004655237,0.00104809,0.0003112971,0.0003083314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005921824,"about_ca_system_score_gemma":0.00004166488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003475539,"about_ca_topic_score_gemma":0.0004431567,"domain_scores_codex":[0.9959024,0.0004756383,0.001458085,0.0004238301,0.001184183,0.0005558578],"domain_scores_gemma":[0.997776,0.0001577814,0.0008981678,0.0003946251,0.0005707581,0.0002026881],"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":[0.0002392707,0.001749227,0.01375705,0.0003290589,0.002118464,0.0003093133,0.009716257,0.0001211085,0.00000377171,0.4703367,0.01970668,0.4816131],"study_design_scores_gemma":[0.003523312,0.0001458371,0.01126685,0.000477114,0.0003912173,0.000004156053,0.006654191,0.0002926404,0.00004304102,0.00791424,0.9688993,0.0003880725],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.008553691,0.0005963307,0.005946263,0.0003509453,0.003984645,0.0006004039,0.000005472629,0.00004375282,0.9799185],"genre_scores_gemma":[0.9634694,0.005005571,0.004243634,0.0001073316,0.0007141852,0.00003857146,0.000007579289,0.00004013595,0.02637358],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9549157,"threshold_uncertainty_score":0.9999199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01746749864688187,"score_gpt":0.3269862403899233,"score_spread":0.3095187417430414,"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."}}