The results consistently highlighted that error-detection methods focusing on exact answer tokens outperformed traditional approaches across various datasets and models.

Software verification techniques such as pattern-based static code analysis, runtime memory monitoring, unit testing, and flow analysis are all valuable techniques for finding bugs in embedded C ...

Editing in surveys of economic populations is often complicated by the fact that outliers due to errors in the data are mixed in with correct, but extreme, data values. We describe and evaluate two ...

This provides a much higher confidence that any differences seen in SOLiD represent real differences in the underlying DNA sequence; as a result of SOLiD's built in error-catching, ABI estimates ...

Computerworld QuickStudies The best-known error-detection method is called parity, where a single extra bit is added to each byte of data and assigned a value of 1 or 0, typically according to ...

The validity and cost-effectiveness of three methods for detecting medication errors were examined. A stratified random sample of 36 hospitals and skilled-nursing facilities in Colorado and ...

This paper considers estimation of the unknown size N of a population based on multiple capture-recapture samples. We extend the Bayesian multiple recapture model to accommodate possible heterogeneity ...

Methods The literature was reviewed to find the best methods for detecting medication administration errors in U.S. hospitals and skilled-nursing facilities, comparing the methods' validity and ...