Sentence examples for fraud or misconduct from inspiring English sources

Exact(15)

We find that eminent scientists are more harshly penalized than their less distinguished peers in the wake of a retraction, but only in cases involving fraud or misconduct.

When journals have suspicions of fraud or misconduct, they have to refer them to the institution employing the scientists.

The likelihood of possible fraud or misconduct identified based on a machine learning predication cannot – and should not – be the sole basis of an enforcement action.

Siewert said that where there are allegations of fraud or misconduct "providers should be investigated, prosecuted where appropriate and lose their contracts".

For example, human findings from registrant examinations can be used to "train" an algorithm to understand what pattern, trend, or language in the underlying examination data may indicate possible fraud or misconduct.

Machine learning algorithms may help our examiners by pointing them in the right direction in their identification of possible fraud or misconduct, but machine learning algorithms can't then prepare a referral to enforcement.

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Similar(45)

Congress last year enacted a similar requirement applying only to VA officials who retaliate against employees who disclose fraud, waste or misconduct, with at least a 12-day suspension for a first offense and firing for a second.

This practice takes cash ponied up by manufacturers, polluters, or banks caught engaging in fraud or other misconduct and provides it to groups that work to protect the public by fighting against such misconduct, helping victims, or crafting policy solutions.

None of this is to suggest that the government should not hold those responsible for fraud or other misconduct accountable.

He began by discussing suspension and debarment, a process for banning businesses from receiving government contracts, often permanently, in cases of fraud or other misconduct.

This is not an implication of fraud or scientific misconduct; instead, a fundamental reason behind this is that such studies are more likely to be influenced by biases.

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