MétaCan
ENFR
Menu
Cohort builder

4,299,418 works, Canadian by any of four routes.

Every filter state is a URL; the URL is the query; the query is citable via /q/⟨hash⟩. The page, the API and the export parse the same parameters.

Export CSVExport JSONAPI query

The current cohort, streamed from the database: every work column, the machine labels, the provisional scores, and the per-row validation status. Exports are capped at 100,000 rows. Mints a permanent /q/ link for this exact query. The same filters always produce the same link, whoever asks.

Search term
Author
Year range
→
Sort
Language
Type
Field
Venue
Journal of Medical Toxicology
Topic
Retraction
Abstract
Evidence source
Study design
Label agreement
Label status

Direct Codex and Gemma labels are unvalidated and sparse. Distilled predictions cover the full frame and are also unvalidated. Choose the evidence source explicitly; absence of a direct label is never a negative label.

affaffiliation
fundfunder
venuejournal
aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

36 results · 1 filter active ·
Results by year
20072025
Publication date
Categories
Machine labels · sparse coverage
Evidence
Language
Type
Citations
An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
36 works in the cohort · of 4,299,418page 1 of 1

Labels cover 1 of 36 works in this cohort. The rest are unlabeled, which is not a negative label: the label table is sparse today and grows as labeling rounds land.

Distilled predictions cover 36 of 36 works in this cohort. Predictions are machine_predicted_unvalidated. The Gemma side is a direct model label for every work (title-only); the Codex side is a distilled, calibrated classifier. Candidate is the union; consensus is the intersection.

affno abstractunlabeled
The Toxicology Investigators Consortium 2023 Annual Report
Adrienne Hughes, Alexandra Amaducci, Sharan Campleman, Shao Li, Mari Costantini, Meghan B. Spyres +7 more
2024· article· en· Journal of Medical Toxicology· Veterinary
machine prediction:candidate · noneconsensus · none
7
citations
affno abstractunlabeled
American College of Medical Toxicology Research Agenda 2024—2030
Neeraj Chhabra, Alison Meyn, Maryann Mazer‐Amirshahi, Stephanie Carreiro, Kevin F. Maskell, Marielle Brenner +3 more
2024· article· en· Journal of Medical Toxicology· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Articles You Might Have Missed
Michael O Khoury, Christopher D Riviello
2025· article· en· Journal of Medical Toxicology· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations

How this was built: Screen · Findings · About