PhD research
Rerun your analyses across every reasonable model choice.
Antinuous maps the papers around your question, reproduces published results and reruns your analyses across every model choice. Each result is code you can check line by line.
Use cases
Map the literature around your question
Hundreds of papers need screening, and gaps stay hidden until you have read them all.
You ask
Map the research on soil microbiome changes after wildfire since 2015. Extract the site, sampling method and main finding from each study and show which ecosystems have little coverage.
What it does
- Antinuous searches PubMed, Europe PMC and preprint servers and follows citations to related work.
- It reads each relevant paper in full and extracts methods and findings into a sheet.
- A second model checks every extracted value against its source paper.
- It writes a literature review notebook that groups the studies and names the gaps.
You get
A cited study table and a review notebook showing what is unstudied.
Search resultsThousands
Screened by abstractHundreds
Read in fullDozens
Included in the reviewA few dozen or fewer
A review narrows thousands of matches to the papers that answer your question.
Who it's for
PhD studentsMap the literature around your question and find open gaps.
Master's studentsPlan how many participants your study needs.
PostdocsReproduce published results and list where they differ.
Research assistantsRun and rerun analyses in code you can check.
Works with
PubMed
arXiv
GitHub
Gmail
Google Calendar
Google Slides