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Discover LudwigThe phrase "as prone to errors" is correct and usable in written English.
It can be used to describe a tendency or likelihood of making mistakes in a particular context.
Example: "The new software is as prone to errors as the previous version, which has raised concerns among users."
Alternatives: "susceptible to mistakes" or "likely to make errors."
Exact(1)
Though he expresses scant optimism for improvement in our ability to make better choices, and confesses to be as prone to errors as the rest of us, this remains a humane book, which allows that "the confidence we have in our beliefs is preposterous — and it is also essential".
Similar(59)
Its infallibility shattered, it was now just as prone to error as any other party.
A new Cambridge University study* shows that forecasting the medium to long term can be just as prone to error as forecasting the short term.
Aligning along both these is a tough task as well as prone to error owing to their small size.
It is plausible that due to placement, an ankle-worn accelerometer (e.g., the AMP) would not be as prone to error related to body size as a hip-worn spring-lever pedometer (e.g., the AX120).
Previous work has found that poorly supported maximum-parsimony trees tend to be less balanced than well-supported ones [ 10], while UPGMA (and presumably other distance-based) trees change little in balance despite being as prone to error as parsimony trees [ 11], while It seems likely that there is no significant difference between the two for fairly robust data [ 12].
I agree with you that the subsequent campaign mounted against officials was not helpful at all - well beyond confirming that when they brought in foreign officials to cover the strike they too were (not surprisingly) just as prone to human error.
"I'm just as workaholic and prone to errors as anyone else," he says.. "I have way too many projects, and it would probably be better for me and the academic community if I focused my efforts.
For example, one novice student described her particular project as "finicky," meaning prone to errors or failure.
This technique, however, is difficult to apply for traditional models as well as being computationally time consuming, prone to errors due to local minima, and, at worst, unidentifiable if a large number of parameters need to be derived.
Smaller contigs were not considered for SNP mining as these contigs are prone to errors due to lack of read depth as reported by Wang and colleagues [ 67].
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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