Insights into the quantification and reporting of model-related uncertainty across different disciplines.
<p>Quantifying uncertainty associated with our models is the only way we can express how much we know about any phenomenon. Incomplete consideration of model-based uncertainties can lead to overstated conclusions with real-world impacts in diverse spheres, including conservation, epidemiology,...
| Main Authors: | , , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
Cell Press
2022
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