We learnt that the covid algorithm can be tweaked for certain...

We learnt that the covid algorithm can be tweaked for certain use cases during an investor call. After detailing sensitivity vs specificity it was shared that this algorithm could be geared to be more conservative in one area for screening with a greater confidence interval.

if I was involved in releasing a test which halved the price of the company I am acquiring I would design the test to give desired result by gearing the algorithm in my favour.

what were the test parameters for the recent tests? and why weren’t the datasets ran at varying confidence intervals to demonstrate applicability to the various use cases.