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
International Journal of Epidemiology
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.

614 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.
614 works in the cohort · of 4,299,418page 7 of 13

Labels cover 10 of 614 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 614 of 614 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.

fundno affno abstractunlabeled
Cohort Profile: São Paulo Western Region Birth Cohort (ROC)
Alexandra Brentani, Ana Paula Scoleze Ferrer, Helena Brentani, Cindy H. Liu, Sandra Josefina Ferraz Ellero Grisi, Maria Helena Valente +3 more
2020· article· en· International Journal of Epidemiology· Nursing
machine prediction:candidate · noneconsensus · none
22
citations
affunlabeled
Season and preterm birth in Norway: A cautionary tale
Clarice R. Weinberg, Min Shi, Lisa A. DeRoo, Olga Basso, Rolv Skjærven
2015· review· en· International Journal of Epidemiology· Medicine
machine prediction:candidate · noneconsensus · none
21
citations
afffundaboutunlabeled
Cohort Profile: The Ontario Health Study (OHS)
Victoria A. Kirsh, Kimberly Skead, Kelly McDonald, Nancy Kreiger, Julian Little, Karen Menard +6 more
2022· article· en· International Journal of Epidemiology· Social Sciences
machine prediction:candidate · noneconsensus · none
20
citations
afffundunlabeled
Cohort Profile: Burden of Obstructive Lung Disease (BOLD) study
André F.S. Amaral, James Potts, Ben Knox‐Brown, Emmanouil Bagkeris, Imed Harrabi, Hamid Hacene Cherkaski +320 more
2023· article· en· International Journal of Epidemiology· Medicine
machine prediction:candidate · noneconsensus · none
19
citations
aboutno affunlabeled
Cohort Profile: Healthy Finland Survey
Katri Sääksjärvi, Hanna Elonheimo, Jonna Ikonen, Lara Lehtoranta, Suvi Parikka, Tommi Härkänen +10 more
2024· article· en· International Journal of Epidemiology· Social Sciences
machine prediction:candidate · noneconsensus · none
19
citations
affunlabeled
Commentary: On King and Bearman
Éric Fombonne
2009· letter· en· International Journal of Epidemiology· Neuroscience
machine prediction:candidate · noneconsensus · none
19
citations
affno abstractunlabeled
Commentary: The iceberg revisited
John M. Last
2013· letter· en· International Journal of Epidemiology· Medicine
machine prediction:candidate · noneconsensus · none
15
citations

How this was built: Screen · Findings · About