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As one would expect, some errors exists within these profiles and papers can be mis-assigned.
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Currently there is no validated epidemiological definition of gout flare, and although we followed the definition used by other authors (cfr e.g. ref [ 14]), based on clinical measurements, we expect that some errors of sensitivity (failure to identify true gout flares) and specificity (identification of subjects who did not experience gout flares) may be inherent in the definition.
I don't mind minor errors; I expect some poetic license; and I do get that fiction is not real.
In addition, estimating the concentration of the cell type target in the mixtures through an indirect method is expected to carry some error.
Nonetheless, when large numbers of votes are to be counted, it can be expected that some error will occur in tabulation or in canvassing".
But in practice, depending on the technology employed, we could expect to see some errors in every process.
Also, I'm documenting things as I learn about them, so expect frequent errors.
Otherwise, it is an "extrapolation case", where we may expect model errors to be greater.
However, we expect these errors to be not substantial.
Errors you didn't expect — including errors you didn't know existed — can broadside you when you least expect it.
In that case, we would expect the errors to add.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com