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
CRISPR and Genetic Engineering
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.

2,698 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.
2,698 works in the cohort · of 4,299,418page 3 of 54

Labels cover 7 of 2,698 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 2,698 of 2,698 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.

fundno affunlabeled
In vivo human T cell engineering with enveloped delivery vehicles
Jennifer Hamilton, Evelyn Chen, Barbara S. Perez, Cindy R. Sandoval Espinoza, Min Hyung Kang, Marena Trinidad +2 more
2024· article· en· Nature Biotechnology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
230
citations
afffundunlabeled
Efficacy of the porcine species in biomedical research
Karina Gutierrez, Naomi Dicks, Werner Giehl Glanzner, Luis B. Agellon, Vilceu Bordignon
2015· article· en· Frontiers in Genetics· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
226
citations
afffundunlabeled
The CRISPR/Cas9 system inactivates latent HIV-1 proviral DNA
Weijun Zhu, Rongyue Lei, Yann Le Duff, Jian Li, Fei Guo, Mark A. Wainberg +1 more
2015· article· en· Retrovirology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
214
citations
afffundno abstractunlabeled
Genome-wide characterization of the routes to pluripotency
Samer M. I. Hussein, Mira C. Puri, Peter D. Tonge, Marco Benevento, Andrew J. Corso, Jennifer L. Clancy +25 more
2014· article· en· Nature· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
212
citations
afffundunlabeled
A public gene trap resource for mouse functional genomics
Tony Cox, William C. Skarnes, Harald von Melchner, Wolfgang Wurst, Geoffrey G. Hicks, Stephen G. Young +6 more
2004· letter· en· Nature Genetics· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
212
citations
affunlabeled
Air pollution induces heritable DNA mutations
Christopher M. Somers, Carole L. Yauk, Paul A. White, Craig L.J. Parfett, James S. Quinn
2002· article· en· Proceedings of the National Academy of Sciences· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
211
citations
aboutno affunlabeled
CRISPR versus GMOs: Public acceptance and valuation
Aaron M. Shew, Lawton Lanier Nalley, Heather A. Snell, Rodolfo M. Nayga, Bruce L. Dixon
2018· article· en· Global Food Security· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · stsconsensus · none
208
citations
affunlabeled
Synthetic Lethality in Cancer Therapeutics: The Next Generation
Jeremy Setton, Michael Zinda, Nadeem Riaz, Daniel Durocher, Michal Zimmermann, María Koehler +2 more
2021· review· en· Cancer Discovery· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
198
citations
afffundvenueunlabeled
Precision genome editing in the CRISPR era
Jayme Salsman, Graham Dellaire
2016· review· en· Biochemistry and Cell Biology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
195
citations
affno abstractunlabeled
Gene-pair expression signatures reveal lineage control
Matti Nykter, Roger Kramer, Anke Wienecke-Baldacchino, Lasse Sinkkonen, Joseph Zhou, Richard Kreisberg +3 more
2013· article· en· Nature Methods· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
185
citations
afffundno abstractunlabeled
Saturation variant interpretation using CRISPR prime editing
Steven Erwood, Teija M.I. Bily, Jason Lequyer, Joyce Yan, Nitya Gulati, Reid A. Brewer +4 more
2022· article· en· Nature Biotechnology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
181
citations

How this was built: Screen · Findings · About