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
Nursing education 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.

1,435 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.
1,435 works in the cohort · of 4,299,418page 28 of 29

Labels cover 9 of 1,435 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 1,435 of 1,435 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
Nursing as a transformative action
Younas Masih
2025· article· Nursing Practice Today· Nursing
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Body of Knowledge - You Are Probably Using It
Fred Fanning, Jeff Camplin
2009· article· en· International Journal of Nursing Education Scholarship· Nursing
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Nursing and the computerized age
Robin. DeLorey
2000· dissertation· en· Nursing
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
From the Editor-in-Chief
2012· article· en· Nursing leadership· Nursing
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
DJ Motomasa at Big Trouble 2
2005· other· en· Bulletin of Miscellaneous Information (Royal Gardens Kew)· Nursing
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
Why Ask Why?
Rajamalar A. Senthuran
2010· article· en· Nursing Science Quarterly· Nursing
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About