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Evaluation of measurement data — Guide to the expression of uncertainty in measurement
Abstract
JCGM/WG 1).
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Cited by
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A practical guide to immunoassay method validation
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ICRP Publication 123: Assessment of Radiation Exposure of Astronauts in Space
Dietze, G., Bartlett, D. T., Cool, D. A., Cucinotta, F. A., Jia, X., McAulay, I. R., Pelliccioni, M., Petrov, V., Reitz, G., & Sato, T. (2013) · Annals of the ICRP · doi:10.1016/j.icrp.2013.05.004 · Cited by 239
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Uncertainty in Measurement and Total Error
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Illán-Gómez, F., García-Cascales, J. R., Hidalgo-Mompeán, F., & López-Belchí, A. (2017) · Energy and Buildings · doi:10.1016/j.enbuild.2017.03.041 · Cited by 37
Volume calibration using a comparison method with a transfer leak flow rate
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Metadata
- Published
- 2008
- OpenAlex
- W4391197160
- Cited by
- 2,767
- References
- 0
- Type
- other
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
