MétaCan
ENFR
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.

Export CSVExport JSONAPI query

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
Gastrointestinal disorders and treatments
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.

495 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.
495 works in the cohort · of 4,299,418page 10 of 10

Labels cover 0 of 495 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 495 of 495 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
Giardia-Associated Duodenal Stricture
S. Malipatil, Kareem Khalaf, Mary Raina Angeli Fujiyoshi, Nicolas Calo, J. Mosko, Christopher Teshima +2 more
2024· article· en· Endoscopy· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Hemorrhagic Colonic Lipoma
James S. Wu, Catherine L. Forse, Arthur A. Parsee
2025· book-chapter· en· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
fundno affno abstractunlabeled
Reply
Mary Treinen–Moslen, Aaron West, Chessley R. Atchison
2001· article· en· Gastroenterology· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Disaccharide
Muriel Gargaud, Prof. Ricardo Amils, José Cernicharo Quintanilla, William M. Irvine, Prof. Daniele L. Pinti, Michel Viso
2011· book-chapter· en· Encyclopedia of Astrobiology· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/s1637-5017(22)42609-3
2000· article· en· Time to knit· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affno abstractunlabeled
10.1016/s0246-1064(19)30117-3
2000· article· en· Time to knit· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Lipoma removal: Minor surgery video series
Charles Czarnowski, David Ponka, Ravi Rughani, Paul Geoffrion
2008· article· en· PubMed Central· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Teat Endoscopy (Theloscopy)
T. Geishauser, Klaus Querengässer
2001· article· en· American Association of Bovine Practitioners Conference Proceedings· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Meckel Diverticulum
John H. Duffus, Michael Schwenk, Douglas M. Templeton
2017· dataset· en· IUPAC Standards Online· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Painful Groin Mass in a Liver Transplant Recipient
Andrew S. Barbas, Maryam Elmi, Sandra E. Fischer, Gonzalo Sapisochín
2017· article· en· American Journal of Transplantation· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
← previous

How this was built: Screen · Findings · About