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
Biomedical Ethics and Regulation
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.

1,306 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.
1,306 works in the cohort · of 4,299,418page 3 of 27

Labels cover 9 of 1,306 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 1,306 of 1,306 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.

aboutno affno abstractunlabeled
Canada approves stem cell product
David Cyranoski
2012· article· en· Nature Biotechnology· Medicine
machine prediction:candidate · noneconsensus · none
29
citations
affunlabeled
The Global Health Crisis
Thana Cristina de Campos
2017· book· en· Cambridge University Press eBooks· Medicine
machine prediction:candidate · noneconsensus · none
29
citations
aboutno affunlabeled
Regulating tissue engineering
Meredith Lloyd-Evans
2004· article· en· Materials Today· Medicine
machine prediction:candidate · noneconsensus · none
26
citations
afffundno abstractunlabeled
Research ethics and stem cells
Timothy Caulfield, Kalina Kamenova, Ubaka Ogbogu, Amy Zarzeczny, Jay M. Baltz, Shelly Benjaminy +12 more
2014· article· en· EMBO Reports· Medicine
machine prediction:candidate · metaresearch+research_integrityconsensus · none
26
citations
affno abstractunlabeled
Bioprinting in Regenerative Medicine
Kursad Turksen
2015· book· en· Stem cell biology and regenerative medicine· Medicine
machine prediction:candidate · noneconsensus · none
24
citations
afffundunlabeled
Ethics Oversight Mechanisms for Surgical Innovation
Lila Karpowicz, Emily Bell, Éric Racine
2016· review· en· Journal of Empirical Research on Human Research Ethics· Medicine
machine prediction:candidate · metaresearchconsensus · metaresearch
23
citations
afffundno abstractunlabeled
Harnessing Stem Cells for Health Needs in India
Bryn Lander, Halla Thorsteinsdóttir, Peter Singer, Abdallah S. Daar
2008· article· en· Cell stem cell· Medicine
machine prediction:candidate · noneconsensus · none
23
citations

How this was built: Screen · Findings · About