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
Pressure Ulcer Prevention and Management
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.

714 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.
714 works in the cohort · of 4,299,418page 1 of 15

Labels cover 6 of 714 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 714 of 714 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
Wound bed preparation and a brief history of TIME
Gregory S. Schultz, David J. Barillo, D.W. Mozingo, Gloria Chin
2004· review· en· International Wound Journal· Health Professions
machine prediction:candidate · noneconsensus · none
271
citations
affunlabeled
Moisture-Associated Skin Damage
Mikel Gray, Joyce Black, Mona Mylene Baharestani, Donna Z. Bliss, Janice C. Colwell, Margaret Goldberg +3 more
2011· article· en· Journal of Wound Ostomy and Continence Nursing· Health Professions
machine prediction:candidate · noneconsensus · none
248
citations
affunlabeled
Bates-Jensen Wound Assessment Tool
Connie Harris, Barbara M. Bates‐Jensen, Nancy Parslow, Rose Raizman, Mina Singh, Robert Ketchen
2010· article· en· Journal of Wound Ostomy and Continence Nursing· Health Professions
machine prediction:candidate · noneconsensus · none
146
citations
affno abstractunlabeled
Surgical treatment of pressure ulcers: 20-year experience
Orpha I. Schryvers, Miroslaw F. Stranc, Patricia W. Nance
2000· article· en· Archives of Physical Medicine and Rehabilitation· Health Professions
machine prediction:candidate · noneconsensus · none
143
citations
affunlabeled
Comprehensive Programs for Preventing Pressure Ulcers
Andrea Niederhauser, Carol VanDeusen Lukas, Victoria A. Parker, Elizabeth A. Ayello, Karen Zulkowski, Dan R. Berlowitz
2012· review· en· Advances in Skin & Wound Care· Health Professions
machine prediction:candidate · noneconsensus · none
122
citations
affunlabeled
SCALE
R. Gary Sibbald, D Krasner, James M. Lutz
2010· article· en· Advances in Skin & Wound Care· Health Professions
machine prediction:candidate · noneconsensus · none
108
citations
aboutno affunlabeled
Pressure Ulcer Risk in the Incontinent Patient
Charlie Lachenbruch, David O. Ribble, Kirsten Emmons, Catherine VanGilder
2016· article· en· Journal of Wound Ostomy and Continence Nursing· Health Professions
machine prediction:candidate · noneconsensus · none
97
citations
affaboutunlabeled
Prevalence of Skin Tears in a Long-term Care Facility
Kimberly LeBlanc, Dawn Christensen, Jocelyn Cook, Bernadette Culhane, Olivia Gutiérrez
2013· article· en· Journal of Wound Ostomy and Continence Nursing· Health Professions
machine prediction:candidate · noneconsensus · none
71
citations
affunlabeled
The Art of Dressing Selection
Kimberly LeBlanc, Sharon Baranoski, Dawn Christensen, Diane Langemo, Karen Edwards, Samantha Holloway +5 more
2015· article· en· Advances in Skin & Wound Care· Health Professions
machine prediction:candidate · noneconsensus · none
69
citations
next →

How this was built: Screen · Findings · About