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Justyna Jupowicz-Kozak

CEO of Professional Science Editing for Scientists @ prosciediting.com

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low categorization

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "low categorization" is correct and usable in written English.
It can be used in contexts where you are discussing the classification or ranking of items, concepts, or data that are considered to be of a lower tier or level. Example: "The study revealed that many species were placed in low categorization due to insufficient data."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

1 human-written examples

The high within-child variability and low categorization success rates demonstrated here have implications for epidemiological studies and risk assessment of children's exposure to pesticides and health effects.

Human-verified similar examples from authoritative sources

Similar Expressions

59 human-written examples

The RII can be interpreted similarly to an incidence rate ratio that compares those in the quantitatively highest category with those in the lowest categorization.

(Levels of DBCM and bromoform were often below the detection limit and too low for categorization and meaningful analysis in the three regions under study).

Each of these three assays results in a clinically useful score, with OncotypeDx providing a continuous but categorizable recurrence score, Mammaprint providing a dichotomous high risk or low risk categorization, and PAM50 providing a continuous and categorizable risk of relapse (ROR) score, along with a categorical classification of biological subtype.

For 8/10 (80%) of the subjects, there was a complete agreement about risk categorization (low risk) and agreement by 14/15 933%) raters for categorization of one other patient.

As this analysis aimed to examine the difference between high and low proficiency, the categorization focused only on respondents at the opposite ends of the proficiency spectrum.

The dichotomous low and high categorization of complexity and novelty imply relative levels of difficulty that are simplifications of subtle gradations open to interpretation.

Cohen and Holiday criteria [ 18] were applied to interpret these correlation coefficients, suggesting the following categorization: very low correlation for values below 0.20; low correlation for values between 0.20 and 0.39; moderate correlation for values between 0.40 and 0.69; high correlation for values between 0.70 and 0.89 and very high correlation for values above 0.89.

However, categorization into low, normal and high birth weight demonstrated that boys with ADHD over twice more often had low birth weight (8.2 vs. 3.0 %, χ = 8.23, p = 0.02).

Rasiwasia Vasconcelos [34] introduced a low-dimensional semantic theme representation that correlates well with human scene understanding, achieving near state-of-the-art performance for scene categorization with low training complexity.

Such presentation of results is believed to provide a better framework to base actions than simple categorization as low or high risk.

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Expert writing Tips

Best practice

When using "low categorization", ensure the context clearly indicates what criteria are considered 'low'. For example, specify if it refers to the number of categories, the complexity of the criteria, or the detail of the classification.

Common error

Avoid using "low categorization" without clarifying the basis for the categorization. Readers may misinterpret the 'low' aspect if it's not explicitly defined, leading to confusion about the categorization's purpose or validity.

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

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

83%

Authority and reliability

3.8/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "low categorization" functions as a noun phrase, where "low" modifies the noun "categorization". It describes a type or quality of categorization, specifically one that is basic, simple, or not highly detailed. Ludwig examples show it used in scientific contexts to describe risk assessment or data analysis methods.

Expression frequency: Rare

Frequent in

Science

100%

Less common in

News & Media

0%

Formal & Business

0%

Encyclopedias

0%

Ludwig's WRAP-UP

In summary, "low categorization" is a grammatically sound noun phrase that describes a basic or simplified classification method. Ludwig AI confirms its usability, predominantly within scientific contexts. While not frequently used, understanding its meaning is crucial for interpreting research methodologies accurately. When employing this phrase, it's important to clarify the criteria for 'low' to avoid ambiguity. Alternatives like "basic classification" or "simple categorization" may offer clearer communication in certain contexts. The phrase is valuable for clearly defining methodologies in publications.

FAQs

What does "low categorization" mean in scientific research?

In scientific research, "low categorization" often refers to a classification system that uses a small number of broad categories, potentially obscuring finer distinctions. This might occur due to limited data or a focus on overarching trends. It's the opposite of "detailed classification".

How can I use "low categorization" in a sentence?

You can use "low categorization" to describe a system or method that simplifies complex data into a few basic groups. For example: "The study employed a "low categorization" approach to assess risk levels, dividing participants into only high and low-risk groups."

What are the advantages of using a "low categorization" approach?

A "low categorization" approach can simplify analysis and communication, making results more accessible. It is useful when broad trends are more important than granular details or when data is limited. It might be preferred as opposed to "complex classification".

Are there any drawbacks to using "low categorization"?

Yes, "low categorization" may oversimplify complex phenomena, potentially obscuring important nuances and leading to inaccurate conclusions. The "broad categorization" might lead to a loss of information if the dataset is not analyzed thoroughly.

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Source & Trust

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Authority and reliability

3.8/5

Expert rating

Real-world application tested

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