Description

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 Intergovernmental Panel on Climate Change (IPCC), Climate Change 2001: Synthesis Report. The language can be found in the “Summary for Policymakers” section, in the PDF format.

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
Date made availableJan 11 2018
PublisherUniversity of Illinois at Urbana-Champaign

Keywords

  • data-theoretic
  • training
  • organization
  • probabilistic risk assessment
  • training quality
  • causal model
  • DT-BASE
  • Bayesian Belief Network
  • Bayesian Network
  • Theory-Building

Cite this

Pence, J. (Creator), Mohaghegh, Z. (Creator) (Jan 11 2018). DT-BASE - Training Quality Causal Model. University of Illinois at Urbana-Champaign. 10.13012/B2IDB-3357538_V3