Data-Theoretic: DT-BASE - Training Quality Causal Model
收藏DataCite Commons2022-07-22 更新2025-04-16 收录
下载链接：
https://databank.illinois.edu/datasets/IDB-3357538
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资源简介：
Dataset includes structure and values of a causal model for Training Quality in nuclear power plants. Each entry refers to a piece of evidence supporting causality of the Training Quality causal model. Includes bibliographic information, context-specific text from the reference, and three weighted values; (M1) credibility of reference, (2) causality determined by the author, and (3) analysts confidence level. (M1, M2, and M3) Weight metadata are based on probability language from: IPCC, Climate change, in Synthesis Report. 2001, Intergovernmental Panel on Climate Change (IPCC). Weight Metadata: LowerBound_Probability, UpperBound_Probability, Qualitative Language 0.99, 1, Virtually Certain 0.9, 0.99, Very Likely 0.66, 0.9, Likely 0.33, 0.66, Medium Likelihood 0.1, 0.33, Unlikely 0.01, 0.1, Very Unlikely 0, 0.01, Extremely Unlikely
提供机构：
University of Illinois at Urbana-Champaign
创建时间：
2017-12-13
