The phrase "a plausible framework for understanding" is correct and usable in written English.
You can use it when discussing theories, models, or concepts that provide a reasonable basis for comprehending a particular subject or phenomenon.
Example: "The researcher proposed a plausible framework for understanding the complex interactions between climate change and biodiversity loss."
Alternatives: "a reasonable structure for comprehension" or "a credible model for interpretation".
Though substantial questions can be raised about the details of this approach, and philosophers can rightly worry about the justification of the standard probability measure on Γ, this explanation seems to offer a plausible framework for understanding why the entropy of systems tends to increase with time.
The current results could provide a plausible framework for understanding the mortality finding, indicating as they do that although higher adiponectin levels have favorable glycometabolic consequences within the lower range of values, once levels exceed the 80th percentile, further increases in adiponectin appear to afford no additional glycometabolic benefits.
Generative models represent a far more plausible framework for understanding selective neurophysiological responses and how representations are constructed in the brain.
Using our in vitro data as motivation and founded on PHD enzyme kinetics we developed an ordinary differential equations-based model to provide a quantitative framework for understanding HIF1α hydroxylation mediated by PHD2 and a plausible mechanistic explanation for the synergistic effect of succinate and hypoxia.
Thus, systems biology can provide a novel conceptual framework for understanding a disease [ 27].
Our analysis therefore provides a new framework for understanding global water availability changes under climate change.
You might cure an illness, or develop a revolutionary framework for understanding how people move through buildings.
Added to these mysteries is the lack of a good framework for understanding the brain's connectivity and electrochemistry.
Diedrichsen, J. & Kriegeskorte, N. Representational models: a common framework for understanding encoding, pattern-component, and representational-similarity analysis.
