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"high level of granularity" is a correct and usable phrase in written English
It is generally used to describe something that is very well-defined or divided into small parts. For example, "The database includes a high level of granularity, allowing users to easily search for very specific pieces of information."
Exact(4)
For the purpose of achieving greater accuracy in the clustering process, it is necessary to maintain a high level of granularity in the underlying data structures.
We applied the ACR code, which is characterized by a high level of granularity, to provide a systematic access to the database.
In addition, from a disease perspective it is important to know whether a gene involved in a respiratory process, for example, is expressed in the bronchi, the bronchioles or the alveoli, necessitating a high level of granularity in annotation.
The database itself consists of eight tables (demographics, medical history, volumetrics, surgical documentation, histology, laboratory values, complications, outcome) with an overall number of 451 items indicating a high level of granularity which is required for this complex research topic.
Similar(56)
This has been elucidated by the case studies used; wherein high levels of granularity have been achieved.
The all attribute is the closure of each hierarchy, representing the highest level of granularity.
In numerous applications and especially in the life science domain, examples are labelled at a higher level of granularity.
The remaining parts of the sensing region are divided into subregions at a higher level of granularity than segments, specifically into four quadrants.
On a higher level of granularity, the adherence through chemical bonds or physical junctions between material entities of finer granularity is treated as coherence (Fig. 5): a given material entity may be treated as an aggregate of two cells that adhere to one another at the finer cellular level of granularity, and at the same time as a fiat body part at the coarser multicellular-organism level.
The current CausalBioNet networks encode the exact relationships between entities at the highest level of granularity possible, and provide the associated literature evidence as captured in BEL.
Even though the use of AOP enables higher levels of granularity when compared with other variability management strategies, it incurs in higher overhead depending on the applied type of advice and the inability to manage variability in systems with several instances of the same class each with different requirements.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com