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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 11 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.

affvenueaboutunlabeled
Nurses Have Names
Dorothy Pringle
2021· article· en· Nursing leadership· Health Professions
machine prediction:candidate · noneconsensus · none
2
citations
affvenueaboutunlabeled
Hindsight Is 2020: A Graduate Student Perspective
Deanne Curnew, Ahmad Deeb, Savannah Isaacs, Rebecca Puddester, Crystal Vaughan
2022· article· en· Nursing leadership· Health Professions
machine prediction:candidate · noneconsensus · none
2
citations
venueno affno abstractunlabeled
GRISIM: A Partnership in Nursing Research
Sylvie Cossette, Céleste Johnston
2007· article· en· Nursing leadership· Nursing
machine prediction:candidate · noneconsensus · none
2
citations
venueno affunlabeled
Future-Proofing Nursing Education
Tom Keighley
2014· article· en· Nursing leadership· Health Professions
machine prediction:candidate · noneconsensus · none
2
citations
affvenueaboutunlabeled
Luddite or Luminary?
Lynn Nagle
2008· article· en· Nursing leadership· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
2
citations
venueno affno abstractunlabeled
We Are All in This Together
Joy Richards
2010· article· en· Nursing leadership· Social Sciences
machine prediction:candidate · noneconsensus · none
2
citations
affvenueaboutunlabeled
Being a Nurse – More Than Just Tasks
Lynn Nagle
2019· article· en· Nursing leadership· Health Professions
machine prediction:candidate · noneconsensus · none
2
citations
affvenueunlabeled
Considering the Human Factor
Lynn Nagle
2008· article· en· Nursing leadership· Engineering
machine prediction:candidate · noneconsensus · none
2
citations
venueno affno abstractunlabeled
"Thank you" Isn't Enough
Wendy Nicklin
2001· article· en· Nursing leadership· Social Sciences
machine prediction:candidate · noneconsensus · none
2
citations
venueno affno abstractunlabeled
Nursing News
2003· article· en· Nursing leadership
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
2
citations
affvenueaboutunlabeled
Infoway's EHR User Engagement Strategy
Lynn Nagle
2007· article· en· Nursing leadership· Health Professions
machine prediction:candidate · noneconsensus · none
2
citations

How this was built: Screen · Findings · About