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The sensitivity coefficient quantifies how the uncertainty in the output of a model or system can be attributed to different sources of uncertainty in its inputs. It is crucial for understanding the robustness and reliability of models, particularly in fields like engineering and environmental science where input variations can significantly impact outcomes.
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