The phrase "a model that corresponds" is correct and usable in written English.
It can be used when discussing a model that aligns or matches with a particular standard, concept, or set of data.
Example: "We developed a model that corresponds to the latest research findings in the field."
Alternatives: "a model that aligns" or "a model that matches".
To me, it's a model that corresponds to any orthodox religion that suggests that there's only one way to be of service.
All our SBML files contain a model that corresponds to the SBML core specification and an additional qualitativeModel that contains all relations.
On the other hand, it might be easier to understand and interpret a model that corresponds to how the theoretical hypothesis to be tested is expressed (eg, to understand the degree of symptomatic improvement at long-term follow-up).
A model that corresponds to the null hypothesis of no drug effect will hereafter be referred to as a reduced model, and a model corresponding to the alternative hypothesis of an existing drug effect will be referred to as a full model.
He suggested an alternative model, which he defined as an "integrative validity model," that corresponds better to the expectations of the professionals, because only an intervention recognized as viable can be evaluated on its effectiveness.
An area under the ROC curve (AUC) of 0.5 corresponds to a model that provides no diagnostic information, whereas an AUC of 1.0 corresponds to a perfect diagnostic model.
The second row ("All tweets") corresponds to a model that uses a basic "one tweet, one vote" approach.
A value of 0.5 corresponds to a model that has no ability to discriminate beyond chance.
This corresponds to a model that assumes an even distribution of diagnosing incident infections over all four quarters.
For example, maps of surface displacements from the 2016 Kumamoto Earthquake gave detailed fault models that corresponded closely to the surface traces of local active faults (e.g., Ozawa et al. 2016; Himematsu and Furuya 2016).
In this image (Fig. 9), three different sizes of silver nanoparticles could be identified; the diameter histogram shows three statistical models that correspond to three most repetitive diameters, 37.2 ± 6.1, 85.4 ± 4.9 and 109.8 ± 4.8 nm.
