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
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 9 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 teacher distillation outputs. Candidate is the union; consensus is the intersection.

affunlabeled
Nosocomial Tuberculosis in India
Madhukar Pai, Shriprakash Kalantri, Ashutosh N. Aggarwal, Dick Menzies, Henry M. Blumberg
2006· review· en· Emerging infectious diseases· Medicine
distilled prediction:candidate · metaepi_narrowconsensus · none
78
citations
affunlabeled
Why healthcare workers are sick of TB
Arne von Delft, Angela Dramowski, Celso Khosa, Koot Kotze, P Lederer, Thato Mosidi +14 more
2015· article· en· International Journal of Infectious Diseases· Medicine
distilled prediction:candidate · noneconsensus · none
76
citations
affunlabeled
Immune Vulnerability of Infants to Tuberculosis
Koen Vanden Driessche, Alexander Persson, Ben J. Marais, Pamela J. Fink, Kevin B. Urdahl
2013· review· en· Clinical and Developmental Immunology· Medicine
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · none
76
citations
affunlabeled
Fatores associados ao atraso no diagnóstico da tuberculose pulmonar no estado do Rio de Janeiro
Audry Cristina de Fátima Teixeira Machado, Ricardo Ewbank Steffen, Olivia Oxlade, Dick Menzies, Afrânio Lineu Kritski, Anete Trajman
2011· article· pt· Jornal Brasileiro de Pneumologia· Medicine
distilled prediction:candidate · metaresearch+metaepi_narrow+research_integrity+insufficient_payloadconsensus · metaepi_narrow+research_integrity+insufficient_payload
75
citations
affunlabeled
The COVID-19 and TB syndemic: the way forward
Anete Trajman, Irina Felker, Layana Costa Alves, Iane Coutinho, Marwan Osman, Sue‐Ann Meehan +2 more
2022· review· en· The International Journal of Tuberculosis and Lung Disease· Medicine
distilled prediction:candidate · noneconsensus · none
75
citations
afffundno abstractunlabeled
Mycobacterium tuberculosis Septic Shock
Shravan Kethireddy, R. Bruce Light, Yazdan Mirzanejad, Dennis G. Maki, Yaseen M. Arabi, Stephen E. Lapinsky +4 more
2013· article· en· CHEST Journal· Medicine
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
75
citations
afffundvenueaboutunlabeled
Tuberculosis in Canada, 2016
Julie Vachon, V Gallant, W Siu
2018· article· en· Canada Communicable Disease Report· Medicine
distilled prediction:candidate · noneconsensus · none
72
citations

How this was built: Screen · Findings · About