Sentence examples for conceptual uncertainty from inspiring English sources

Exact(10)

These reflect the conceptual uncertainty in current multi-porosity diffusion models.

Conceptual uncertainty arises when the language is unclear, which leads to the trust being declared invalid.

Uncertainty comes in four categories: conceptual uncertainty, evidential uncertainty, ascertainability and administrative unworkability.

Conceptual uncertainty is the "most fundamental in the validity of a trust or power", and is where the language used in the trust is unclear.

There are four categories of uncertainty that can affect the validity of a trust: conceptual uncertainty, evidential uncertainty, ascertainability and administrative unworkability.

In addition to conceptual uncertainty, factor-analytic studies of other measures that claim to assess depressive symptoms raise questions about the dimensionality of the DSS.

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Similar(50)

It is one of the fundamental conceptual uncertainties complicating the putative obligation to disclose [ 46].

These four claims support the broader point that HIV cure concepts are works in progress, and raise a normative question: given the conceptual uncertainties, how should HIV research developments be talked about?

Hierarchical Bayesian model averaging (HBMA) is adopted to assess if highly probable propositions can be identified and the conceptual model uncertainty can be reduced by the experimental design.

Furthermore, our typology bears similarities with the taxonomy of Han et al. [ 11]: Conceptual and technical uncertainty basically correspond with "scientific uncertainty", while systemic uncertainty can be considered equivalent to "practical uncertainty", and communicational and ethical uncertainty coincides with Han et al.'s personal uncertainty.

Fundamental issues in V&V are addressed, such as code verification versus solution verification, model validation versus solution validation, the distinction between error and uncertainty, conceptual sources of error and uncertainty, and the relationship between validation and prediction.

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