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In the event of a positive answer, they were asked what type of relationship they had.
If the customer receives a negative answer (event rec_decl), then the workflow terminates.
What happens in the event of a string of negative outcomes?
In the remainder of the paper we provide a negative answer to the posed question.
An answer in the affirmative would extremely interesting and supportive of the regulation hypothesis but even a negative answer would be interesting.
Nonetheless, 39.10% of them gave a negative answer or no answer at all.
A negative answer to one of the questions should result in exclusion of the HOS for QRA.
Whether you would have given a positive answer, or a negative answer, there is something that all eight of these elements, positive and negative, have in common.
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The Verily project (Verily) crowdsources the task of verification by seeking rapid crowdsource evidence (in terms of an affirmative or negative answer) to answer verification questions.
To be included in the analysis, the rate of false negative answers had to be <30% and that of false positive answers <20%.
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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.
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CEO of Professional Science Editing for Scientists @ prosciediting.com