Illinois Data Bank

Data-Theoretic: DT-BASE - Training Quality Causal Model

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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 URL to the report: https://www.ipcc.ch/ipccreports/tar/vol4/english/index.htm. The language can be found firstly in “Summary for Policymakers” section, in 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

Physical Sciences
Data-Theoretic; Training; Organization; Probabilistic Risk Assessment; Training Quality; Causal Model; DT-BASE; Bayesian Belief Network; Bayesian Network; Theory-Building
CC BY
U.S. National Science Foundation (NSF)-Grant:1535167
Justin Pence
494 times
Version DOI Comment Publication Date
3 10.13012/B2IDB-3357538_V3 Updated the model 2018-01-11
2 10.13012/B2IDB-3357538_V2 Corrected a typo in .csv file 2017-12-15
1 10.13012/B2IDB-3357538_V1 2017-12-13

57.8 KB File

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Dataset update: {"subject"=>[nil, "Physical Sciences"]} 2020-11-09T21:16:48Z
RelatedMaterial create: {"material_type"=>"Dataset", "availability"=>nil, "link"=>"https://doi.org/10.13012/B2IDB-3357538_V3", "uri"=>"10.13012/B2IDB-3357538_V3", "uri_type"=>"DOI", "citation"=>"", "dataset_id"=>389, "selected_type"=>"Dataset", "datacite_list"=>"IsPreviousVersionOf"} 2018-01-16T15:47:34Z
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