jev-reviewer
Data extraction for systematic reviews, quoted from the papers. Ask a trial report and its supplements your extraction form or a RoB 2, ROBINS-I, QUADAS-2 or TIDieR template; Jev points at the lines, every answer is a verbatim quote with its page, you check it and export the table. Files stay in your browser.
47 ★ on GitHub
What it is
Open a trial report in Chrome together with its supplements, protocol, analysis plan or data tables, then ask for what your systematic review extraction form needs: inclusion criteria for age, baseline age, how many were randomized, who funded it. Ask by voice, by typing, or with a questions file (CSV, TXT or a spreadsheet) or a ready-made template (trial characteristics, RoB 2, ROBINS-I, QUADAS-2
The homepage listed on the repository, jevreviewer.xera.ac, puts it like this: Free AI-assisted data extraction for systematic reviews: every answer is a verbatim quote from the trial report, with its page. Check it, export the table.
Where the decision sits
jev-reviewer calls the hosted decision API rather than running its own weights. That keeps the project small and means its behaviour moves whenever the vendor ships a new model version. It also means an API key and a network round trip sit in the path of every decision.
Models it references: Jev.
How active it is
Created 2026-09-18, last pushed 2026-09-19, 47 stars and 9 forks when we read it on 2026-11-02. Everything in this category is weeks old at most, so a stale push date means something different here than it would on a mature project. Check the repository before you depend on it.
Find out what your data actually supports
We turn your historical decisions into a frozen test set, then tell you which model, which threshold, and how much of it you can safely automate.