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
Congenital Heart Disease Studies
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.

3,803 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.
3,803 works in the cohort · of 4,299,418page 76 of 77

Labels cover 6 of 3,803 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 3,803 of 3,803 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
Congenital Heart Disease
Kwan‐Leung Chan, John P. Veinot
2010· book-chapter· en· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Update in Pediatric Cardiology
Jenna Ashkanase, Derek Wong
2023· book-chapter· en· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Bidirectional Cavopulmonary Shunt (BCPS)
Constanza Jimenez Navia, Alejandro A. Floh
2024· book-chapter· en· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Fontan Circulation
Anne I. Dipchand
2024· book-chapter· en· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Update in Pediatric Cardiology
Jane Lougheed, Jenna Ashkanase
2018· article· en· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Ebstein’s Anomaly
Osami Honjo, Amine Mazine, Lindsay R. Freud
2024· book-chapter· en· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Tetralogy of Fallot (TOF)
Christoph Haller
2024· book-chapter· en· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Coarctation of the Aorta
Rachel D. Vanderlaan
2024· book-chapter· en· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Cor Triatriatum (Divided Atrium)
Devin Chetan, Christoph Haller
2024· book-chapter· en· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
afffundunlabeled
JoVE Video Dataset
François Potus, Ashley Martin, Brooke Snetsinger, Stephen L. Archer
2020· article· pt· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Intracardiac Interactions
Andrew N. Redington, Michael Mendelson
2013· book-chapter· en· Medicine
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About