The phrase "a baseline model for" is correct and usable in written English.
It can be used when referring to a foundational or reference model that serves as a starting point for comparison or further development in a specific context.
Example: "The researchers developed a baseline model for evaluating the effectiveness of the new treatment."
Alternatives: "a reference model for" or "a foundational model for".
Results from field measurement were used to develop a baseline model for computational experiment.
A two-phase model updating approach is presented to develop a baseline model for the Runyang Suspension Bridge (RSB), which is the longest bridge in China with a main span of 1490 m.
A set of closure relations has been collected at the Helmholtz-Zentrum Dresden-Rossendorf that represents the best available knowledge and may serve as a baseline model for further investigations.
The Arithmetic Average Model (AAM), which predicts the same value (the arithmetic mean) for all compounds, was used as a baseline model for comparison.
To investigate the agreement between RENEX and expert consensus, we developed a sequence of nested log-linear models starting with the simplest model, a baseline model for Table 1.
A student-level model with a digital reading factor nested within an overall reading factor, previously identified for the Swedish data (Rasmusson and Åberg-Bengtsson 2015), was assumed also to be valid for the Norwegian data and, if so, planned to be used as a baseline model for the present analysis.
For instance, Ptolemy II provides a Discrete Event (DE) director that can be used as a baseline Model of Computation (MoC) for the composition of accessors.
Limits are also calculated for a baseline model of boosted dark matter produced from cold dark matter annihilation or decay.
In contrast the difference in specificity increased with mean risk achieving a maximum at approximately the point when mean risk was double the cutpoint for a baseline model of medium strength.
Closed-form mathematical relationships are developed, and recommendations are provided for the level of deviation and uncertainty associated to different models, in relation to a baseline model, both for panel surface acceleration and radiated sound power.
Incorporation of genetic information (i.e., familial relationships, PCs, or WGP) yielded a significant increase in prediction accuracy: from an AUC of 0.53 for a baseline model that accounted for nongenetic covariates to AUCs of 0.58 (pedigree), 0.62 (PCs), and 0.64 (WGP).
