1 hows that even the most successful companies make mistakes.

2 eave gaps and doubts leading the consumer to make mistakes.

3 y individuals contain some mutant tRNAs that make mistakes.

4 ossible to know when DNNs are more likely to make mistakes.

5  programmed with, humans who design them may make mistakes.

6 n result in a greater propensity for them to make mistakes.

7                              Cells routinely make mistakes.

8  Finally, we explored cases where the models make mistakes and demonstrate the predictive performance

9         However, these algorithms frequently make mistakes and therefore the use of gene predictions

10 to provide, physicians may be more likely to make mistakes and to be distracted from the issues of gr

11         Unfortunately, all alignment methods make mistakes, and mistakes in alignments often yield mi

12 tions about which animals are more likely to make mistakes around novel conditions (i.e., fall for a

13                          We have, of course, made mistakes, causing unforeseen changes in ecosystem a

14  to its heterogeneity, it is not uncommon to make mistakes during the integration phases.

15 and the probability that the polymerase will make a mistake (i.e. base substitution error).

16 ctively synthesizing RT enzyme that has just made a mistake is likely bound in a configuration that g

17 imes, but it is well known that eyewitnesses make mistakes, often with serious consequences.

18 s become easier, however, the possibility to make mistakes or generate inflated or misleading results

19  weakly drives evolution and individuals can make mistakes requires some adaptations to explain the e

20 ctions catalysed by enzymes, which sometimes make mistakes that lead to their inactivation.

21 astic evolutionary game theory, where agents make mistakes when judging the payoffs and strategies of