A clearer path from extraction to review
Give your research table
a second look.
Check structure, compare reviewer records, and keep a traceable decision log. Then return to the sources with a clearer view of what needs attention.
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A useful check, with a clear boundary.
These checks identify table and review metadata issues. They do not read articles, establish scientific accuracy, or verify that a source supports a claim. Agreement between reviewers is not source verification.
CSV here. Excel in the Python app.
This browser demo supports CSV in the UTF-8 text encoding, up to 5 mebibytes (MiB), 10,000 rows, and 50 columns. A row is one extraction field, not one study. The Python app also supports Excel and downloadable audit bundles.
JSON is a structured text export. A SHA-256 hash is a fingerprint of exact bytes, not proof of source accuracy. The glossary explains the remaining terms.