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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.

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Nursing Education, Practice, and Leadership
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.

1,197 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.
1,197 works in the cohort · of 4,299,418page 10 of 24

Labels cover 4 of 1,197 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 1,197 of 1,197 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.

affvenueaboutunlabeled
Calling All Leaders
Mary Ellen Jeans
2005· article· en· Nursing leadership· Nursing
machine prediction:candidate · noneconsensus · none
1
citations
affaboutunlabeled
Historically Informed Nursing
Sonya Grypma
2012· article· en· Journal of Christian Nursing· Nursing
machine prediction:candidate · noneconsensus · none
1
citations
affaboutunlabeled
The Hydroquinone Debate
Tracey A. Hotta
2011· article· en· Plastic Surgical Nursing· Nursing
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
How your articles are making an impact
Nicole Harder
2023· article· en· Clinical Simulation in Nursing· Nursing
machine prediction:candidate · metaresearch+insufficient_payloadconsensus · none
1
citations
affunlabeled
Our tips for you: Ideas for authors from the IJOPN Editorial Team
Jennifer Baumbusch, Emma Pascale Blakey, Anna M. Carapellotti, Marleen Dohmen, Sarah H. Kagan, G. J. Meléndez‐Torres
2021· editorial· en· International Journal of Older People Nursing· Nursing
machine prediction:candidate · noneconsensus · none
0
citations
venueaboutno affunlabeled
Nursing News
2013· article· en· Nursing leadership· Nursing
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
The experiences of returning P.E.I. nurses.
P Berrigan, Andrew D. Gaudet, G Silliker, B Strongman
2001· article· en· PubMed· Nursing
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Volunteers . . . the quarterbacks of CSHP
Janice Munroe
2000· article· en· The Canadian Journal of Hospital Pharmacy· Nursing
machine prediction:candidate · noneconsensus · none
0
citations
affaboutno abstractunlabeled
Hopefulness about Canadian society
Samuel MacIsaac, Rubab Arim
2025· article· en· SSRN Electronic Journal· Nursing
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Terry-Nan Tannenbaum
Barbara Kermode-Scott
2016· article· de· BMJ· Nursing
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Translation
2015· article· en· Nursing
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affunlabeled
From the Editor-in-Chief
Lynn Nagle
2010· article· en· Nursing leadership· Nursing
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Some Things Must Not Change
Anne Katz
2017· editorial· en· Oncology nursing forum· Nursing
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Nurses break the ice. 1974.
H Brigstocke
2008· article· en· PubMed· Nursing
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
A Fall From Grace?
Anne Katz
2018· article· en· Oncology nursing forum· Nursing
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Editorial
Carolyn J. Rosenthal
2004· editorial· fr· Canadian Journal on Aging / La Revue canadienne du vieillissement· Nursing
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10 health stories that mattered May 12–16
Roger Collier
2014· article· en· Canadian Medical Association Journal· Nursing
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About