MétaCan
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.

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
Topic
Toxin Mechanisms and Immunotoxins
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.

390 results · 1 filter active ·
Results by year
20002025
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.
390 works in the cohort · of 4,299,418page 5 of 8

Labels cover 0 of 390 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 390 of 390 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
Effect of Depurination on Cellular and Viral RNA
Kass A. Jobst, Alexander Klenov, Kira C. M. Neller, Katalin A. Hudak
2016· book-chapter· en· RNA technologies· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
9
citations
affunlabeled
Toxicity of ricin toxin A chain in rats
Misagh Alipour, Kresimir Pucaj, Milton G. Smith, Zacharias E. Suntres
2012· article· en· Drug and Chemical Toxicology· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
8
citations
affunlabeled
The Search for Antidotes Against Ricin
Fernanda D. Botelho, Tanos C. C. França, Steven R. LaPlante
2024· review· en· Mini-Reviews in Medicinal Chemistry· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
8
citations
venueno affunlabeled
Black-Spot Poison Ivy
Sarah E. Schram, Andrea Willey, Peter K. Lee, Kimberly Bohjanen, Erin M. Warshaw
2008· article· en· Dermatitis· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
5
citations
affunlabeled
Preclinical Safety Evaluation of Immunotoxins
Jennifer G. Brown, Joycelyn Entwistle, Nick Glover, Glen C. MacDonald
2007· other· en· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
4
citations

How this was built: Screen · Findings · About