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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.

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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 ·
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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.
1,197 works in the cohort · of 4,299,418page 8 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.

affunlabeled
Registered Reports.
Randall K. Jamieson, Glen E. Bodner, Jean Saint‐Aubin, Debra Titone
2019· article· en· Canadian Journal of Experimental Psychology/Revue canadienne de psychologie expérimentale· Nursing
machine prediction:candidate · metaresearch+open_science+insufficient_payloadconsensus · none
2
citations
aboutno affunlabeled
Managing in a changing world
Melanie Jasper
2010· editorial· en· Journal of Nursing Management· Nursing
machine prediction:candidate · noneconsensus · none
2
citations
venueno affno abstractunlabeled
Nursing Matters
International Council of Nurses
2006· article· en· Canadian Journal of Emergency Nursing· Nursing
machine prediction:candidate · insufficient_payloadconsensus · none
2
citations
affvenueunlabeled
National Quality Framework – Yes We Can!
Rachel Bard, Mary-Anne Robinson
2011· letter· en· A Nudge Too Far? A Nudge at All? On Paying People to Be Healthy· Nursing
machine prediction:candidate · noneconsensus · none
2
citations
affaboutunlabeled
Nursing in Need of Transformation
Sonya Grypma
2009· article· en· Journal of Christian Nursing· Nursing
machine prediction:candidate · noneconsensus · none
2
citations
affvenueunlabeled
A Cockeyed Optimist
Lynn Nagle
2020· editorial· en· Nursing leadership· Nursing
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
A flair for innovation
Lynne Pearce
2009· article· en· Nursing Standard· Nursing
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
[Albert Bandura and his work].
Brigitte Guerrin
2012· article· fr· PubMed· Nursing
machine prediction:candidate · noneconsensus · none
1
citations
affaboutunlabeled
Peer-Review Mentorship
Kristen R. Haase, Laura Cox Dzurec
2019· article· en· Advances in Nursing Science· Nursing
machine prediction:candidate · metaresearchconsensus · none
1
citations
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How this was built: Screen · Findings · About