Model refinement is the process of adjusting and improving scientific models based on new observations or data to increase their accuracy and predictive capabilities. This iterative approach allows researchers to better understand complex systems by continuously incorporating empirical evidence, thereby ensuring that models remain relevant and reliable in explaining phenomena.
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