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
Virology and Viral Diseases
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.

869 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.
869 works in the cohort · of 4,299,418page 7 of 18

Labels cover 2 of 869 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 869 of 869 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.

afffundvenueaboutunlabeled
Measles surveillance in Canada: Trends for 2013
A Shane, Joanne Hiebert, Lindsey Sherrard, H Deehan
2014· article· en· Canada Communicable Disease Report· Medicine
machine prediction:candidate · noneconsensus · none
17
citations
afffundaboutunlabeled
Rubella Elimination, the Canadian Experience
J F Macey, Theresa Tam, T Lipskie, Graham Tipples, Tracie EisBrenner
2011· article· en· The Journal of Infectious Diseases· Medicine
machine prediction:candidate · noneconsensus · none
17
citations
afffundvenueaboutunlabeled
Measles surveillance in Canada: 2015
Lindsey Sherrard, Joanne Hiebert, Jack Cunliffe, L Mendoza, J Cutler
2016· article· en· Canada Communicable Disease Report· Medicine
machine prediction:candidate · noneconsensus · none
17
citations
affno abstractunlabeled
Mumps is Back: Why is Mumps Eradication Not Working?
Noni E. MacDonald, Todd F. Hatchette, Lotfia Elkout, Shelly Sarwal
2010· review· en· Advances in experimental medicine and biology· Medicine
machine prediction:candidate · noneconsensus · none
17
citations
afffundvenueno abstractunlabeled
No. 368-Rubella in Pregnancy
Isabelle Boucoiran, Eliana Castillo
2018· article· en· Journal of Obstetrics and Gynaecology Canada· Medicine
machine prediction:candidate · noneconsensus · none
16
citations
afffundunlabeled
The Problem with Delaying Measles Elimination
Natasha S. Crowcroft, Anna A. Minta, Shelly Bolotin, Tania Cernuschi, Archchun Ariyarajah, Sébastien Antoni +3 more
2024· review· en· Vaccines· Medicine
machine prediction:candidate · noneconsensus · none
16
citations

How this was built: Screen · Findings · About