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Justyna Jupowicz-Kozak

CEO of Professional Science Editing for Scientists @ prosciediting.com

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intensity of error

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "intensity of error" is correct and usable in written English.
It can be used in contexts where you are discussing the severity or magnitude of mistakes or inaccuracies in a particular situation, such as in data analysis or quality control. Example: "The intensity of error in the measurements was higher than anticipated, leading to significant discrepancies in the final results."

✓ Grammatically correct

Science

News & Media

Formal & Business

Human-verified examples from authoritative sources

Exact Expressions

1 human-written examples

For each aligner the left, middle, and right columns show a heat map indicating the type and intensity of error made for the external, middle, and root branches, respectively (see fig. 1 A).

Human-verified similar examples from authoritative sources

Similar Expressions

59 human-written examples

Unpleasant behaviors and previous inadequate reactions of the organization, including the managers, physicians, and colleagues, and also the inappropriate reaction of the manager regarding the impact and intensity of the error lead to under-reporting the errors and covering them up.

The filtering function of the Kit-Build analyzer can provide more efficient investigation by adjusting the intensity of three error types.

The technology-specific component utilizes an intensity-dependent model of error derived from numerous self-self hybridizations.

First, measurements of intensity errors and color errors present in the short-exposure image are performed.

The Drosophila melanogaster gap gene system, in which model parameters are optimized against in situ immunofluorescence intensities, demonstrates the importance of error quantification, which is applicable to a wide array of developmental modeling studies.

Such an approach alleviates the intensity of a trial and error process to NN design and additionally ensures good generalisation.

Variation due to "noisy fold ratios" generated from low-intensity transcripts is a widespread cause of error when computing statistics on ratios without accounting for the intensities from which the ratios were derived [ 25].

Given that the interrogation system measures the reflected intensity of light a possible source of error could arise from random variations in the received power resulting from variations in the bend radius at any bends in the fiber connecting the sensor to the interrogation system.

These scaled full reflections are then merged for each unique Miller index, taking into account estimated errors of the observed intensities, σ(I obs ), and propagation of error estimates for the refined parameters.

Science

eLife

A likely source of error in the intensities is the assumption that only structures I, J, K, and L contribute to the experimental spectra in proportions governed by their relative energies and the synthesis temperature.

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Expert writing Tips

Best practice

When discussing the impact of errors, quantify the "intensity of error" with specific metrics or data points to provide a clearer understanding of the issue's significance.

Common error

Avoid exaggerating the "intensity of error" without providing supporting evidence. Ensure that claims about the severity of errors are backed by factual data to maintain credibility.

Antonio Rotolo, PhD - Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

80%

Authority and reliability

4.1/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "intensity of error" functions as a noun phrase that quantifies or characterizes the degree or magnitude of mistakes. As Ludwig AI confirms, the phrase is valid and usable in written English. It describes the strength or severity of an error.

Expression frequency: Common

Frequent in

Science

50%

News & Media

25%

Formal & Business

25%

Less common in

Wiki

0%

Encyclopedias

0%

Reference

0%

Ludwig's WRAP-UP

The phrase "intensity of error" is a grammatically correct and frequently employed term used to describe the magnitude or severity of mistakes. As indicated by Ludwig AI, it's a valid phrase found across various contexts, particularly in science, news, and formal settings. Alternatives like "magnitude of error" or "degree of error" can be used to convey similar meanings. When using this phrase, ensure the claims about error intensity are supported by data to maintain credibility, and consider quantifying the intensity with metrics for clarity.

FAQs

How can I use "intensity of error" in a sentence?

You can use "intensity of error" to describe the magnitude or severity of mistakes. For example: "The intensity of error in the measurements was higher than anticipated."

What can I say instead of "intensity of error"?

You can use alternatives like "magnitude of error", "degree of error", or "severity of error depending on the specific context.

Is "intensity of error" formal or informal language?

"Intensity of error" is suitable for both formal and informal contexts, depending on the surrounding language and the audience. However, in highly technical or scientific writing, more specific terminology might be preferred.

What's the difference between "intensity of error" and "frequency of error"?

"Intensity of error" refers to the magnitude or severity of individual errors, while "frequency of error" refers to how often errors occur. They describe different aspects of errors and are not interchangeable.

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Most frequent sentences: