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
bioRxiv (Cold Spring Harbor Laboratory)
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.

23,962 results · 1 filter active ·
Results by year
20132025
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.
23,962 works in the cohort · of 4,299,418page 238 of 480

Labels cover 39 of 23,962 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 23,962 of 23,962 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
Cytokinin-induced immunity enhances rice blast resistance
Emilie Chanclud, Anna Kisiała, R. J. Neil Emery, Grégory Mouille, Stéphanie Boutet, Romiti-Michel Corinne +1 more
2024· preprint· en· bioRxiv (Cold Spring Harbor Laboratory)· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
1
citations
afffundunlabeled
Gain control by sparse, ultra-slow glycinergic synapses
Varsha Jain, Laura Hanson, Santhosh Sethuramanujam, Ronald G. Gregg, Chi Zhang, Robert G. Smith +3 more
2021· preprint· en· bioRxiv (Cold Spring Harbor Laboratory)· Neuroscience
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
A rear-engine drives adherent tissue migration <i>in vivo</i>
Naoya Yamaguchi, Ziyi Zhang, Teseo Schneider, Biran Wang, Daniele Panozzo, Holger Knaut
2021· preprint· en· bioRxiv (Cold Spring Harbor Laboratory)· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Estimating population range distributions from animal tracking data
G. Paavai Anand, Christen H. Fleming, Ananke Krishnan, Clayton T. Lamb, Emília Patrícia Medici, Laura R. Prugh +2 more
2025· preprint· en· bioRxiv (Cold Spring Harbor Laboratory)· Environmental Science
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About