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
Peptidase Inhibition and Analysis
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.

1,095 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.
1,095 works in the cohort · of 4,299,418page 20 of 22

Labels cover 2 of 1,095 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 1,095 of 1,095 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.

afffundunlabeled
Reversing PAI-1 deficiency in blood using mRNA lipid nanoparticles
Francesca Ferraresso, Chad W. Skaer, Katherine E. Badior, Serena M. Pulente, Manoj Paul, Laura M. Ketelboeter +6 more
2025· article· en· Molecular Therapy — Methods & Clinical Development· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Leucyl aminopeptidase of Plasmodium falciparum
Desire M.M. Nsangou, Rency T. Mathew, Karine Thivierge, Donald L. Gardiner, John P. Dalton
2025· book-chapter· en· Handbook of Proteolytic Enzymes· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
VanX d-,d-dipeptidase
Ivan A.D. Lessard
2025· book-chapter· en· Handbook of Proteolytic Enzymes· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
AOAC SMPR® 2016.006
Ted L. Hadfield, Paul J. Jackson, Jessica Appler, Les Baillie, Ed Bailor, Jeff D. Ballin +18 more
2016· article· fr· Journal of AOAC International· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
AOAC SMPR<sup>®</sup> 2017.009
Brad Barrett, Joseph M. Betz, Clyde Don, Nour‐Eddine Es‐Safi, James C. Griffiths, George Joseph +13 more
2017· article· fr· Journal of AOAC International· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
PHEX endopeptidase
Mathieu St‐Louis, Guy Boileau
2025· book-chapter· fr· Handbook of Proteolytic Enzymes· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Peptidase T
Takafumi Kasumi, Sumiko Mori
2025· book-chapter· en· Handbook of Proteolytic Enzymes· Medicine
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About