source-backed-method-packageDraft
Plant growth improvement mediated by nitrate capture in co-composted biochar methods
Plant growth improvement mediated by nitrate capture in co-composted biochar
claudia i kammann3 quoted passages
ReplicateScience turns dense methods sections from open-access papers into structured, step-by-step protocols, with every fact quoted from the paper. We are rebuilding each page from the full paper; until then a page shows only the paper's own words.
We are rebuilding every page through these four stages. Each fact must match the paper's own words, or it is not shown.
Open-access papers from PubMed Central, bioRxiv, and medRxiv are segmented into structured method text.
Each experiment is read into steps, settings, materials, and subjects, with the exact quote for every fact.
Equipment is linked to a catalog item only when the paper names its maker or model.
Plant growth improvement mediated by nitrate capture in co-composted biochar
Experimental adaptation of an influenza H5 haemagglutinin (HA) confers respiratory droplet transmission to a reassortant H5 HA/H1N1 virus in ferrets
Run an assay tomorrow morning, or pipe protocols into a meta-analysis. The site and the API will serve the same checked records; the API is in development.
Methods with their sources, quoted from the paper, in print-friendly form.
Every fact carries the paper's exact words, so you can check it at a glance.
A REST API and Python package for structured protocol records, in development.
Every step, parameter, and equipment match links back to a source methods quote.
We process open-access literature, attribute sources, and do not scrape paywalls.
Scores expose missing details rather than filling gaps with plausible fiction.
The web interface and API use the same structured protocol records.
Open access. Always free to read. Submit any open-access paper for extraction and review.
The API and Python package are in development. They will serve the same checked records as the method pages.
Developer notesA trained reviewer checks each fact against the paper before it counts.
# pip install replicatescience
from replicatescience import ReplicateScience
rs = ReplicateScience(api_key="rs_live_...")
# Search the methods literature
protocols = rs.protocols.search(
species="Mus musculus",
type="fear_conditioning",
min_completeness=85,
)
# Each protocol carries evidence
for p in protocols:
print(p.title, p.completeness)
for step in p.steps:
print(step.evidence)