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
Ethics in Clinical Research
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.

2,822 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.
2,822 works in the cohort · of 4,299,418page 16 of 57

Labels cover 145 of 2,822 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 2,822 of 2,822 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.

affno abstractunlabeled
Questioning the Limits of Genomic Privacy
Bartha Maria Knoppers, Edward S. Dove, Jan‐Eric Litton, J. J. Nietfeld
2012· letter· en· The American Journal of Human Genetics· Medicine
machine prediction:candidate · research_integrityconsensus · none
19
citations
aboutno affunlabeled
Clinical trials in India: Where do we stand globally?
Sandhiya Selvarajan, Melvin George, SSuresh Kumar, StevenAibor Dkhar
2013· article· en· Perspectives in Clinical Research· Medicine
machine prediction:candidate · metaresearch+research_integrityconsensus · none
19
citations
afffundaboutunlabeled
A Practical Tool for Modeling Biospecimen User Fees
Lise Matzke, Simon Dee, John M.S. Bartlett, Sambasivarao Damaraju, Kathryn Graham, Randal N. Johnston +5 more
2014· article· en· Biopreservation and Biobanking· Medicine
machine prediction:candidate · noneconsensus · none
18
citations
affno abstractunlabeled
The ethics of Zelen consent
Jennifer Hawkins
2004· letter· en· Journal of Thrombosis and Haemostasis· Medicine
machine prediction:candidate · metaresearch+research_integrityconsensus · none
18
citations

How this was built: Screen · Findings · About