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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 leadership
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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.

933 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
933 works in the cohort · of 4,299,418page 12 of 19

Labels cover 5 of 933 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 933 of 933 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.

affvenueunlabeled
Critical Appraisal through a New Lens
Leonard F. Stevens, Ellie J Ricketts, Jill Bruneau
2014· article· en· Nursing leadership· Decision Sciences
machine prediction:candidate · metaresearchconsensus · metaresearch
2
citations
venueaboutno affunlabeled
Case Study of Program Management in Canada
Liza Heslop, Karen Francis
2005· article· en· Nursing leadership· Health Professions
machine prediction:candidate · noneconsensus · none
2
citations
affvenueunlabeled
Partnership, Trust and Leadership among Nursing Researchers
Margareth Santos Zanchetta, Susanne Edwards, Bukola Salami, Eunice Osino, YU Li-na, Oluwafunmbi Babalola +1 more
2016· article· en· Nursing leadership· Health Professions
machine prediction:candidate · metaresearchconsensus · none
2
citations
affvenueno abstractunlabeled
Strengths-Based Nursing Care
Karen LeGrow
2012· article· en· Nursing leadership· Psychology
machine prediction:candidate · noneconsensus · none
2
citations
venueno affno abstractunlabeled
Awards and Appointments
2009· article· en· Nursing leadership· Social Sciences
machine prediction:candidate · noneconsensus · none
2
citations
affvenueunlabeled
Show Me the Way to Stay Home
Lynn Nagle
2008· article· en· Nursing leadership· Social Sciences
machine prediction:candidate · noneconsensus · none
2
citations
affvenueunlabeled
A Cross-Country Check-Up in Healthcare
Susan Van De Velde-Coke
2009· article· en· Nursing leadership· Nursing
machine prediction:candidate · noneconsensus · none
1
citations
affvenueunlabeled
Who Will Be Culpable?
Lynn Nagle
2018· article· en· Nursing leadership· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
affvenueaboutunlabeled
The Dawning of a New Era of Leadership
Lynn Nagle
2021· article· en· Nursing leadership· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
1
citations
affvenueunlabeled
A Virtual Team Group Process
Marnie Bell, Della Robertson, Marlene B Weeks, Deborah Yu
2002· article· en· Nursing leadership· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About