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
Genetics in Medicine
Topic
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.

568 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.
568 works in the cohort · of 4,299,418page 9 of 12

Labels cover 2 of 568 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 568 of 568 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
Correction: DOORS syndrome and a recurrent truncating ATP6V1B2 variant
Éliane Beauregard‐Lacroix, G. Pacheco-Cuellar, Norbert Fonya Ajeawung, Jessica Tardif, Klaus Dieterich, Tabib Dabir +16 more
2020· erratum· en· Genetics in Medicine· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
10
citations
afffundno abstractunlabeled
Is gene discovery research or diagnosis?
Mark E. Samuels, Andrew Orr, Duane L. Guernsey, Kent Dooley, Christie Riddell, Kathy Hodgkinson +2 more
2008· article· en· Genetics in Medicine· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · metaresearchconsensus · none
8
citations
affno abstractunlabeled
Neptune: an environment for the delivery of genomic medicine
Eric Venner, Victoria Yi, David R. Murdock, Sara E. Kalla, Tsung-Jung Wu, Aniko Sabo +235 more
2021· article· en· Genetics in Medicine· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
8
citations
affno abstractunlabeled
Fragile X testing as a second-tier test
Taila Hartley, Ryan Potter, Lauren Badalato, Amanda Smith, Olga Jarinova, Kym M. Boycott
2017· letter· en· Genetics in Medicine· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
8
citations
affno abstractunlabeled
Subjectivity in chromosome band–level estimation: a multicenter study
Katherine B. Geiersbach, Anna Gardiner, Andrew Wilson, Shashirekha Shetty, Hélène Bruyèrè, James Zabawski +4 more
2013· article· en· Genetics in Medicine· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
6
citations

How this was built: Screen · Findings · About