The phrase "across different models" is correct and usable in written English.
It can be used when discussing comparisons, variations, or applications that span multiple models or frameworks in a particular context.
Example: "The results of the study were consistent across different models, indicating a robust finding."
Alternatives: "among various models" or "throughout different models".
Differences of significance of these two variables across different models indicate that these two are not very strong predicting the manufacturing performance.
The χ difference test was used to compare model fit across different models.
Variability in tumor deposition of PLD was believed to reflect differences in the enhanced permeability and retention effect across different models and could be quantified via the transvascular flux parameters.
A major reason for this is the discontinuity of information across different models.
This paper compares the effect of post-processing and model calibration in improving hydrologic forecasts under different hydroclimatic conditions and across different models.
A correlation analysis shows that horizontal mass fluxes simulated by cropland and rangeland models are correlated, with correlation R2 of 0.37 0.99 across different models.
For critical applications, the sensible move is to examine the sensitivity of results to specific methods by comparing different intervention strategies not only within each modeling framework but across different modeling frameworks.
Three models were constructed in order to study the differences in estimated DEA efficiency scores across different model specifications.
Although origin firing is mechanistically conserved, how origins are specified and selected for activation varies across different model systems.
The results are significant and robust across different model specifications and across the different price segments, but the price effect of proximity to a commuter train station is strongest in lower price segments of the housing market.
We investigate a set of core challenges (both computational and science domain related) that middle school students face when working with CTSiM, how these challenges evolve across different modeling activities, and the kinds of support provided by human observers that help students overcome these challenges.
