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
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 22 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
The genetic background of Southern Iranian couples before marriage
Ali Nariman, Mohammad Reza Sobhan, M Savaei, Erfan Aref‐Eshghi, R Nourinejad, Mehdi Manoochehri +3 more
2016· article· en· Balkan Journal of Medical Genetics· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Predicting Penetrance of <i>SCN5A</i> Rare Variants
Jason D. Roberts
2018· letter· en· Circulation Genomic and Precision Medicine· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Transitions in Craniofacial Biology
G.H. Sperber
2012· article· en· Journal of Craniofacial Surgery· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
2
citations
afffundunlabeled
Variant Classification Discordance
Hamid Ghaedi, Scott Davey, Harriet Feilotter
2023· article· en· Journal of Molecular Diagnostics· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
2
citations
aboutno affunlabeled
Genetic counselling in India: The state of affairs
Minit Shah, Nandini Menon, Ajaykumar Singh
2023· article· en· Cancer Research Statistics and Treatment· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Do geneticists need Babel fish?
Jan M. Friedman
2001· letter· en· Genetics in Medicine· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
The Role of Pharmacogenomics in Rare Diseases
Alice Man, Gabriella Groeneweg, Colin J.D. Ross, Bruce Carleton
2024· article· en· Drug Safety· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Koolen-de Vries Syndrome: a journey from diagnosis to treatments
Anna C. Pfalzer, Blake Ivers, Alayna Haynam, Barbara Drake, David A. Koolen, Nael Nadif Kasri +8 more
2024· review· en· Therapeutic Advances in Rare Disease· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
2
citations

How this was built: Screen · Findings · About