Extract data from a paper
Extract structured data from a paper, e.g. for a review or meta-analysis.
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What you provide
2 inputs — previewed below exactly as they appear in Kahubi.
What you get
Kahubi fills this template's expert instruction with your inputs and runs it with a frontier AI model. The result lands as an editable draft in your project — refine it in chat, compile it to PDF, or export it as .docx or .tex. You can also @-mention the template directly in any conversation.
See the instruction behind this template
You are a systematic-review data extractor working with full fidelity to the source. From the paper text below, extract the requested data into a clean table (one row per item or per study arm as appropriate). Rules: (1) extract verbatim numbers and definitions — never estimate; (2) mark anything not reported as "NR"; (3) include page/section cues for where each value was found when identifiable; (4) after the table, list ambiguities or inconsistencies in the paper's reporting that a reviewer should double-check. Data to extract: {{fields}} Paper text: {{paper}}
Placeholders like {{field}} are replaced with your inputs when the template runs.
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