MétaCan
ENFR
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.

Export CSVExport JSONAPI query

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
Genomics and Rare Diseases
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.

1,801 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.
1,801 works in the cohort · of 4,299,418page 33 of 37

Labels cover 4 of 1,801 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 1,801 of 1,801 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
Variant Effect Mapping Protocol Collection v1
Warren van Loggerenberg, Daniel Zimmerman, Anna Axakova, Adrine de Souza
2025· article· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Variant identification and interpretation
Jorge David Mendez-Rios
2023· article· en· Genetics and Clinical Genomics· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
P.129 Worster-Drought syndrome caused by LINS mutations
HJ McMillan, Anne-Lise Holahan, Julie Richer
2018· article· en· Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
UNC93B1 Deficiency
Henry Y. Lu, Stuart E. Turvey
2020· book-chapter· en· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
0
citations
venueaboutno affunlabeled
P.074 An assessment of next-generation panel testing in epilepsy
Heather Leduc‐Pessah, Tonya Hartley, Donna Pohl, D Dyment
2022· article· en· Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Connecting Canada for rare disease care and research
François P. Bernier, Kym M. Boycott, Leanne M. Ward, Ian Stedman, Durhane Wong‐Rieger, Svenja Espenhahn
2025· article· en· Open Access Government· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Enriching for Answers in Rare Diseases
Yilei Fu, Adam C. English, Luis F. Paulin, Shalini N. Jhangiani, George Weissenberger, Yi Han +4 more
2025· preprint· en· medRxiv· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
0
citations
← previousnext →

How this was built: Screen · Findings · About