discovery threshold

USAGE SUMMARY

The phrase "discovery threshold" is correct and usable in written English.
It can be used in contexts related to research, science, or any field where a certain level of evidence or information must be reached before a finding is considered valid or significant. Example: "The researchers established a discovery threshold to determine which results were statistically significant in their study."

✓ Grammatically correct

Science

News & Media

Human-verified examples from authoritative sources

Exact Expressions

12 human-written examples

If the results from Atlas or CMS fall short of the five sigma level, the combination could push the statistical significance over the discovery threshold.

BBC

Previously the threshold for significance, taking false discovery threshold into account, has been set to B>0 for this type of tissue and microarray [7], [19], [41].

Plosone

Similarly, in alignments from short-read platforms false negatives (one of which was in common between Illumina GA and ABI SOLiD) were due to the low frequency displayed by the "non ref_seq" allele, and they become detectable when the discovery threshold was lowered.

Plosone

Overall, the power estimates based on these allele frequency distributions were unchanged (Tables S4, S5 and S6), compared to the HapMap 3-based results, also for a lowered discovery threshold of p<1×10−8 to reflect increased variation in African samples (data not shown).

Plosone

Due to the fixed false discovery threshold centroid probe numbers differed between data sets.

BMC Medical Genomics

We corrected for multiple testing with a false discovery threshold of P < 0.05.

G3: Genes, Genomes, Genetics

Human-verified similar examples from authoritative sources

Similar Expressions

48 human-written examples

Finally, permutation and resampling methods also provide empirical estimates for false discovery thresholds [ 74, 79].

Genome Medicine

Emphasis is placed on cases whose discovery thresholds place them within reach of current technologies.

BMC Genomics

This clinical observation excluded the need to estimate multiple testing and false discovery thresholds for SOX9, a common strategy undertaken for candidate selection in high-throughput studies.

British Journal of Cancer

Analysis of the gene expression time series data using ANOVA resulted in a total of 309 genes significantly up- or down-regulated at any of the four time points at a 30% local false discovery rate threshold which corresponded to ~20% false discovery rate (FDR) threshold (see Additional file 1 for detailed gene expression data and the Methods section for accession information to deposited raw data).

BMC Genomics

After route discovery, the threshold for each flow and link is set to the LSR of the link minus a safe margin, β, as follows: δ k, ij = LSR ij t k − β, (5).

EURASIP Journal on Wireless Communications and Networking

Expert writing Tips

Best practice

When discussing scientific findings, clearly define the "discovery threshold" used to determine the validity of your results. This ensures transparency and reproducibility.

Common error

Avoid using "discovery threshold" interchangeably with "statistical significance". While related, the "discovery threshold" often represents a more stringent or specific criterion beyond basic statistical significance, particularly in fields like particle physics or genomics.

Linguistic Context

The phrase "discovery threshold" functions primarily as a noun phrase. It identifies the minimum level of evidence or statistical significance required to consider a finding as a genuine discovery. Ludwig AI examples show its use in various scientific contexts.

Expression frequency: Uncommon

Frequent in

Science

90%

News & Media

10%

Formal & Business

0%

Less common in

Encyclopedias

0%

Wiki

0%

Reference

0%

Ludwig's WRAP-UP

The phrase "discovery threshold" is a noun phrase mainly used in scientific and news contexts to define the minimum level of evidence required for a finding to be considered a genuine discovery. According to Ludwig AI, the phrase is grammatically correct. The register is formal and scientific, reflecting its use in academic and research settings. While not extremely common, understanding its proper usage is crucial in fields where clear criteria for validation are essential. Related phrases include "significance level" and "detection limit", providing alternative ways to express similar concepts. When using the term, ensure you are clearly defining the specific criteria being used and avoid confusing it with broader concepts like statistical significance.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

statistical significance threshold

Adds emphasis on the statistical aspect of the required significance.

identification threshold

Specifically refers to the minimum level needed for identification.

recognition threshold

Emphasizes the level needed for something to be recognized.

significance level

Focuses on the statistical significance required for a finding to be considered valid.

minimum detectable level

Focuses on the smallest quantity that can be reliably detected.

detection limit

Emphasizes the lower bound at which something can be reliably detected.

critical value

Highlights the value used to determine statistical significance in hypothesis testing.

cutoff point

Indicates a specific point at which a decision or classification changes.

acceptance criteria

Focuses on pre-defined criteria that must be met for acceptance.

validation benchmark

Highlights the benchmark used for validation purposes.

FAQs

How is "discovery threshold" used in scientific research?

In scientific research, the "discovery threshold" is a pre-defined level of statistical significance or evidence required before a finding is considered a genuine discovery rather than a chance occurrence. It's often used in fields like particle physics and genetics.

What is a common mistake to avoid when using the term "discovery threshold"?

A common mistake is to assume that any statistically significant result automatically surpasses the "discovery threshold". The "discovery threshold" is usually a more rigorous standard, often requiring a higher level of confidence (e.g., five sigma in particle physics).

Can the "discovery threshold" vary across different scientific fields?

Yes, the "discovery threshold" can vary. Fields like particle physics may use a very strict threshold (five sigma), while other areas such as genomics might employ a less stringent false "discovery rate threshold".

What are some alternative phrases for "discovery threshold"?

Depending on the context, alternative phrases for "discovery threshold" include "significance level", "detection limit", or "critical value". These terms capture different aspects of the idea of a minimum level of evidence needed for a valid finding.