AI Article Synopsis
- Reproducibility is crucial for maintaining credibility in science, yet many fields face issues with it.
- The article focuses on the reproducibility of mathematical models specifically, highlighting its significance within scientific research.
- A new scorecard is proposed to help enhance reproducibility in mathematical modeling, suggesting a systematic way to address the problem.
Article Abstract
Reproducibility of scientific results is a key element of science and credibility. The lack of reproducibility across many scientific fields has emerged as an important concern. In this piece, we assess mathematical model reproducibility and propose a scorecard for improving reproducibility in this field.
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Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7901289 | PMC |
| http://dx.doi.org/10.15252/msb.20209982 | DOI Listing |
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