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
Clinical Nutrition and Gastroenterology
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.

1,758 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.
1,758 works in the cohort · of 4,299,418page 27 of 36

Labels cover 3 of 1,758 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 1,758 of 1,758 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
Milk in the urine: How did it get there?
Nori Bradley, Khalid Khashoggi, Rui F. Santos, James J. Murphy
2013· letter· en· Journal of Pediatric Surgery· Nursing
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/s1637-5017(19)69207-0
2000· article· en· Time to knit· Nursing
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affno abstractunlabeled
10.1016/j.ysur.2015.02.016
2000· article· en· Time to knit· Nursing
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affno abstractunlabeled
10.1016/j.ysur.2016.03.055
2000· article· en· Time to knit· Nursing
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affno abstractunlabeled
10.1016/b978-0-7020-7279-6.00049-1
2000· book-chapter· en· Time to knit· Nursing
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affno abstractunlabeled
10.1016/j.ysur.2014.02.044
2000· article· en· Time to knit· Nursing
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
Issue Information
Kelly A. Tappenden, David A. August, Juan B. Ochoa, Joseph I. Boullata, Rph Jean, Charles Preiser +43 more
2021· paratext· en· Journal of Parenteral and Enteral Nutrition· Nursing
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
Session 3: Sugar transport
Chris Cheeseman, Jens Herrmann, Bernd Schröder, G. Breves
2012· article· en· Genes & Nutrition· Nursing
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Reply on RC2
Eneko Martin-Martinez
2025· peer-review· en· Nursing
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affaboutunlabeled
Reply on RC2
Frank Wania
2024· peer-review· en· Nursing
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Reply on RC2
Anthony Baron
2024· peer-review· en· Nursing
machine prediction:candidate · noneconsensus · none
0
citations
afffundaboutunlabeled
Reply on RC2
Xiaoyong Xu
2024· peer-review· en· Nursing
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Reply on RC2
Lei Liu
2024· peer-review· en· Nursing
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Reply on RC2
Xinyuan Lv
2025· peer-review· en· Nursing
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Short Bowel Syndrome
Richard N. Fedorak, Lana Bistritz
2008· other· en· Textbook of Gastroenterology· Nursing
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Reply on RC2
Mahya Roustaei
2024· peer-review· en· Nursing
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Short Bowel Syndrome
Jennifer Jin, Leah Gramlich
2019· book-chapter· en· Encyclopedia of Gastroenterology· Nursing
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Part III. Organs and Organ Systems
Donald B. McMillan, Richard J. Harris
2018· book-chapter· en· Elsevier eBooks· Nursing
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/0024-7804(96)82840-5
2000· article· en· Time to knit· Nursing
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affno abstractunlabeled
10.1016/s1637-5017(22)69209-3
2000· article· en· Time to knit· Nursing
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Reply on RC2
Victoria Bauer
2024· peer-review· en· Nursing
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
← previousnext →

How this was built: Screen · Findings · About