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An Enhanced FAIRed and eXplainable (eFAIR-X) AI Model and Dashboard for Open, Interdisciplinary Computational Research Reproducibility.

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Title: An Enhanced FAIRed and eXplainable (eFAIR-X) AI Model and Dashboard for Open, Interdisciplinary Computational Research Reproducibility.
Authors: Bakaki, Paul1 (AUTHOR), Belyk, Michel2 (AUTHOR), Trovati, Marcello3 (AUTHOR), Bessis, Nik1 (AUTHOR) nik.bessis@edgehill.ac.uk
Source: Sci (2413-4155). Jun2026, Vol. 8 Issue 6, p124. 19p.
Database: Academic Search Ultimate
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  Data: An Enhanced FAIRed and eXplainable (eFAIR-X) AI Model and Dashboard for Open, Interdisciplinary Computational Research Reproducibility.
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  Data: <searchLink fieldCode="JN" term="%22Sci+%282413-4155%29%22">Sci (2413-4155)</searchLink>. Jun2026, Vol. 8 Issue 6, p124. 19p.
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.3390/sci8060124
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      – Code: eng
        Text: English
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        PageCount: 19
        StartPage: 124
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      – TitleFull: An Enhanced FAIRed and eXplainable (eFAIR-X) AI Model and Dashboard for Open, Interdisciplinary Computational Research Reproducibility.
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            NameFull: Bakaki, Paul
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            NameFull: Belyk, Michel
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            NameFull: Trovati, Marcello
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              Text: Jun2026
              Type: published
              Y: 2026
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