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"It is doomed to fail".
It was doomed to fail from the start.
In short, it was doomed to fail.
In practical terms it's doomed to fail.
Unfortunately, the test was so fundamentally flawed that it was doomed to fail.
It was doomed to fail.
For instance, any ontology learning effort is doomed to fail if the concept identification step has a poor performance.
Growth is the key: without it, any adjustment program is doomed to fail.
If the prototype is doomed to fail, scrap it and return to the drawing board.
Consequently, it has also been projected that most gamified software is doomed to fail.
If the organization is doomed to fail, you're going to fail with it.
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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