On measuring agreement with numerically bounded linguistic probability schemes: A re-analysis of data from Wintle, Fraser, Wills, Nicholson, and Fidler (2019)

David R. Mandel; Daniel Irwin

doi:10.1371/journal.pone.0248424

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Open Access

Peer-reviewed

Research Article

On measuring agreement with numerically bounded linguistic probability schemes: A re-analysis of data from Wintle, Fraser, Wills, Nicholson, and Fidler (2019)

David R. Mandel ,

Roles Conceptualization, Formal analysis, Funding acquisition, Investigation, Methodology, Validation, Visualization, Writing – original draft, Writing – review & editing

* E-mail: drmandel66@gmail.com

Affiliation Intelligence, Influence and Collaboration Section, Toronto Research Centre, Defence Research and Development Canada, Toronto, Ontario, Canada

https://orcid.org/0000-0003-1036-2286

⨯
Daniel Irwin

Roles Data curation, Formal analysis, Validation, Visualization, Writing – original draft, Writing – review & editing

Affiliation Department of National Defence, Toronto, Ontario, Canada
⨯

On measuring agreement with numerically bounded linguistic probability schemes: A re-analysis of data from Wintle, Fraser, Wills, Nicholson, and Fidler (2019)

David R. Mandel,
Daniel Irwin

Published: March 18, 2021
https://doi.org/10.1371/journal.pone.0248424

About the Authors

David R. Mandel

Roles Conceptualization, Formal analysis, Funding acquisition, Investigation, Methodology, Validation, Visualization, Writing – original draft, Writing – review & editing

* E-mail: drmandel66@gmail.com

Affiliation Intelligence, Influence and Collaboration Section, Toronto Research Centre, Defence Research and Development Canada, Toronto, Ontario, Canada

https://orcid.org/0000-0003-1036-2286

Daniel Irwin

Roles Data curation, Formal analysis, Validation, Visualization, Writing – original draft, Writing – review & editing

Affiliation Department of National Defence, Toronto, Ontario, Canada

Competing Interests

The authors have declared that no competing interests exist.

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