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
Topic
Tuberculosis Research and Epidemiology
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.

3,760 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.
3,760 works in the cohort · of 4,299,418page 46 of 76

Labels cover 16 of 3,760 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 3,760 of 3,760 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.

afffundvenueaboutno abstractunlabeled
La tuberculose au Canada : 2017
Marie LaFreniere, Hamidah Hussain, Ning He, M McGuire
2019· article· fr· Relevé des maladies transmissibles au Canada· Medicine
machine prediction:candidate · noneconsensus · none
5
citations
affno abstractunlabeled
Tuberculosis infection among cocaine crack users in Brazil
Sandra Maria do Valle Leone de Oliveira, Elizeu Ferreira da Silva, Ana Rita Coimbra Motta-Castro, Vivianne de Oliveira Landgraf de Castro, Andrea Stabile, Anamaria Mello Miranda Paniago +1 more
2018· article· en· International Journal of Drug Policy· Medicine
machine prediction:candidate · noneconsensus · none
5
citations
afffundunlabeled
Estimated costs of tuberculosis services in Brazil, 2023
Elias Jabbour, Márcia Pinto, Ricardo Ewbank Steffen, Fernanda Dockhorn, Daniele Maria Pelissari, Nicole Menezes de Souza +2 more
2025· article· en· BMJ Open Respiratory Research· Medicine
machine prediction:candidate · noneconsensus · none
4
citations
← previousnext →

How this was built: Screen · Findings · About