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Justyna Jupowicz-Kozak

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modeled data

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "modeled data" is correct and usable in written English.
It can be used in contexts related to data analysis, statistics, or computer modeling where data has been created or adjusted based on a specific model. Example: "The researchers analyzed the modeled data to predict future trends in climate change."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

Open image in new window Fig. 13 Frequency plots for field data car car (a), modeled data car car (b), field data auto bike (c), and modeled data auto bike (d).

The transport models are classified by the scale modeled data.

A marginal difference was found between extreme wave heights obtained from measured and modeled data.

The calibrations showed a good agreement between measured and modeled data for the time spans evaluated.

However, modeled data are off by two orders of magnitude and all fall more or less on the same line.

Temperature data recorded across the Teakettle landscape were partitioned into two categories, modeled data and verified data.

Another more fundamental explanation for the differences between measured and modeled data deals with the forces driving ionospheric plasma flow.

"The data that Dr. Kogan gave to us was modeled data and building a model on top of a model proved to be less statistically accurate… than actually just using Facebook's own algorithms for placing advertising communications.

News & Media

TechCrunch

A full list of nominally significant DMRs generated in the CETS modeled data appears in Table S2.

Ritchie et al 51 modeled data for 10 SNPs in the genes COMT, CYP1A1, CYP1B1, GSTM1, and GSTT1.

OpenSDE data: Entity Export was used to generate a conventional relational database from the row modeled data entered with OpenSDE.

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Expert writing Tips

Best practice

When comparing "modeled data" with experimental results, clearly state the assumptions and limitations of the model used to generate the data.

Common error

Avoid using "modeled data" interchangeably with raw, directly observed data. Always clarify when you are referring to data produced by a model, versus data collected directly from observation or experiment.

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

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

82%

Authority and reliability

4.1/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "modeled data" functions as a noun phrase, where "modeled" acts as an adjective describing the type of data. The Ludwig AI confirms its usability in written English. It modifies "data" to indicate that it has been processed or created using a specific model.

Expression frequency: Common

Frequent in

Science

100%

Less common in

News & Media

0%

Formal & Business

0%

Wiki

0%

Ludwig's WRAP-UP

The phrase "modeled data" is commonly used in scientific and technical contexts to refer to data that has been generated or influenced by a specific model. According to Ludwig AI, the phrase is correct and usable in written English. The phrase is primarily found in the realm of science. When using "modeled data", it is essential to clearly define the model used and any limitations it may have. Alternatives include "simulated data" and "projected data" depending on the specific context.

FAQs

How does "modeled data" differ from observed data?

"Modeled data" is generated through simulations or calculations, whereas observed data is directly measured or collected from real-world phenomena. Therefore, "observed data" reflects actual measurements.

What are some alternatives to saying "modeled data"?

Depending on the context, you can use alternatives like "simulated data", "projected data", or "estimated data".

In what fields is "modeled data" commonly used?

"Modeled data" is frequently used in fields like climate science, engineering, finance, and epidemiology to simulate and analyze complex systems where direct measurement is impractical or impossible.

How is the accuracy of "modeled data" assessed?

The accuracy of "modeled data" is typically assessed by comparing it to available real-world observations or experimental data. Statistical methods and validation techniques are used to evaluate how well the model represents the actual system.

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Source & Trust

82%

Authority and reliability

4.1/5

Expert rating

Real-world application tested

Most frequent sentences: