Sentence examples for making an erroneous from inspiring English sources

In retrospect, this is not surprising, since the networks are not independent and have different probabilities of making an erroneous prediction for different compounds.

Clapper recently apologized for making an "erroneous" statement to Congress after saying in a congressional hearing that the National Security Agency does not collect data on Americans.

The possibility of making an erroneous diagnosis is higher in NASH as compared to alcoholic liver disease.

Adequate sampling may keep us from making an erroneous diagnosis, such as blood clot, by identifying other tumor components.

In the ICU setting, there is instead a considerable advantage in blood sampling, allowing for serial measurements, reducing the risk of making an erroneous decision based on one single sample.

One answer to this question is that, after making an erroneous decision, one slows down on the next decision an empirical regularity known as post-error slowing (PES; Laming, 1968, 1979a, 1979b; Rabbitt, 1966, 1979; Rabbitt & Rodgers, 1977).

First, the earlier study made an erroneous correction for the urban heat island effect, which incorrectly assumed that the effect is equally strong all year around.

Zaghari-Ratcliffe's case has become intertwined with Boris Johnson's political career since the foreign secretary made an erroneous statement last year, which appeared to complicate her legal battle.

A lawyer for the companies said the panel made an "erroneous" decision to exonerate Japan, which has been the main target of the steel makers' complaints the last two years.

For only in that situation is there any risk that an explanation of the permissible inference to a jury, or its use by a jury, has caused the presumptively rational factfinder to make an erroneous factual determination.

An article in some editions on Monday about a lawsuit filed against the New York Police Department for its handling of a traffic death investigation made an erroneous comparison in describing the frequency of traffic deaths in New York City.