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
Journal of the American Society of Nephrology
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.

1,870 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.
1,870 works in the cohort · of 4,299,418page 15 of 38

Labels cover 3 of 1,870 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 1,870 of 1,870 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.

affunlabeled
Authors’ Reply
Germaine Wong, Richard L. Hope, Kirsten Howard, Jeremy R. Chapman, Antoni Castells, Simon D. Roger +20 more
2019· letter· en· Journal of the American Society of Nephrology· Medicine
machine prediction:candidate · noneconsensus · none
2
citations
aboutno affunlabeled
Lifetime Risk of ESRD
Paul W. Eggers
2012· letter· en· Journal of the American Society of Nephrology· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
A Contemporary Economic Model of CKD in the United States
Andrew Briggs, Ciaran Kohli‐Lynch, Satabdi Chatterjee, B.M.K. Donato, Adrian R. Levy, Csaba P. Kövesdy
2024· article· en· Journal of the American Society of Nephrology· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
affaboutunlabeled
Association of CKD with Sarcopenia: A Population-Wide Study
Mackenzie R. Alexiuk, Silvia Juliana Leon Mantilla, Hailey V. Hildebrand, Clara Bohm, William D. Leslie, Navdeep Tangri
2024· article· en· Journal of the American Society of Nephrology· Medicine
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About