COMMUNITY OBSERVEDMetric claims: AUTHOR REPORTEDSOURCE AUDITED🤖 Jev Agent

Jev Reviewer

Systematic-review data from trial reports, every answer a verbatim quote.

Overview & result

A browser-based systematic-review assistant uses Jev to locate lines in trial reports and supplements. Code copies verbatim quotes with file/page citations, and the researcher checks them before exporting an evidence table.

From the original post

Every answer is a **verbatim quote** with its file and page,

— Ahmad Sofi-Mahmudi

How Jev fits in the loop

  1. Parse local study files into line, paragraph and table-row candidates with locations.
  2. Use Jev Choice to screen candidate lines and Noul questions to verify whether a line answers the extraction prompt.
  3. Copy exact source text and location into the browser UI; require researcher review before accepting it.

How to reproduce

  1. Open the public demo or repository sample study in a browser.
  2. Ask a trial-report extraction question and inspect the highlighted quote, file and page location.
  3. Check the quote manually before adding it to an exported extraction table.

Why this build matters

Shows Jev as a retrieval judgment layer, not a text generator: it points at evidence while source fidelity and final acceptance stay with code and a human.

Limitations

  • Jev selects candidate lines; a human must verify each quote and interpret the evidence.
  • Not-found or unclear is allowed when no line passes; this is not a guarantee that the source lacks the answer.

Patterns