Sentence examples for an inadequate model from inspiring English sources

The phrase "an inadequate model" is correct and usable in written English.
It can be used to describe a model that does not meet the necessary standards or requirements for a particular purpose.
Example: "The research findings indicate that the current theoretical framework is an inadequate model for understanding the complexities of human behavior."
Alternatives: "a flawed model" or "an insufficient model".

Exact(18)

Comedy performance proves an inadequate model for everyday conversational laughter.

We show that in most cases this is an inadequate model.

Interesting are the significant species differences between rodent and human FcRn reactivity, rendering wild type rodents an inadequate model for studying IgG serum half-life.

Proponents of this view argued that traditional (here: Aristotelian) logic is an inadequate model of scientific discovery because it misrepresents the process of knowledge generation as grossly as the notion of "happy thought".

Whether the recent surge of interest in systems biology will effectively address this revised agenda for discerning immune regulation remains to be seen, but, clearly, the linear assembly of connected discrete elements currently portraying the immune system is an inadequate model.

In general, the compensation of amplitudes of two components points to the application of an inadequate model.

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Similar(42)

By contrast, Figure 4C demonstrates that the minimum distance is a completely inadequate model of the perturbation caused by the NF-κB system; the corresponding coefficient of determination (R) value of 0 indicates that the minimum distance has no predictive power in this case (R2 = 1 being perfect).

As demonstrated by Tronche et al. [ 13] the high number of false predictions is not simply a result of inadequate model frameworks: the predicted sites are effectively bound by transcription factors in vitro.

But fierce competition and an inadequate business model built around franchises hurt earnings.

These models have uncertainties due to inevitable input errors, poorly defined parameters, and inadequate model structures.

It specifically discusses some advances in criteria to discriminate among gross errors, bad experimental design, and inadequate model selection.

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