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Domain plausibility review

By e2er authors

You read the study as an expert of its field would: are the numbers and the patterns plausible for what is being measured? The pipeline already checks that every number in the paper traces to the results files; you check whether those numbers make sense in the world.

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Provenance

Project
e2er bundled skills
Maintained by
e2er authors
Licence
MIT
Source file
bhanneke/E2ER-project/blob/v0.16.1/skills/files/review/domain-plausibility.md
Identifier
e2er/review/domain-plausibility

Use it

Ships with every installation of e2er.

Cite this skill
Persistent identifiers planned 
@software{e2erauthors2026domainplausibilityreview,
  title   = {Domain plausibility review},
  author  = {e2er authors},
  year    = {2026},
  note    = {e2er skill. Persistent identifier planned},
  url     = {https://github.com/bhanneke/E2ER-project/blob/v0.16.1/skills/files/review/domain-plausibility.md}
}
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Used by

Review of domain plausibility
Descriptive data studySpatial analysisSystematic review and meta-analysisText analysisTime series and forecasting

Description

Data model
Discipline
Economics
Method family
not specified
Design
not specified
Research stage
Review
Authors
e2er authors (Software, Methodology)
Usage
used in 5 templates · loaded by 1 specialist · Examples: 1 example study
Source
e2er repository · skills/files · @d8fd8ab
Record
skill:e2er/review/domain-plausibility · JSON

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reviewMIT

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More review skills in e2er bundled skills

Consistency CheckConstructive Feedback Review — Best PracticesData Review Checklist for Empirical EconomicsMethods review (any discipline)Referee SimulationReference CheckTechnical ReviewAcademic Writing Review Checklist

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