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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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Clinical Nursing Research
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Retraction
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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
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aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

102 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
102 works in the cohort · of 4,299,418page 2 of 3

Labels cover 0 of 102 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 102 of 102 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.

afffundunlabeled
RADAR
Philippe Voyer, Nathalie Champoux, Johanne Desrosiers, Philippe Landreville, Jane McCusker, Johanne Monette +4 more
2015· article· en· Clinical Nursing Research· Medicine
machine prediction:candidate · noneconsensus · none
14
citations
affunlabeled
A Case Study of Comorbidities
Wendy Anne. Heffern, Terry M. A. Davis, Carolyn J. M. Ross
2002· article· en· Clinical Nursing Research· Medicine
machine prediction:candidate · noneconsensus · none
7
citations
afffundunlabeled
Weight and Patients’ Decision to Undergo Cardiac Surgery
Kathryn King‐Shier, Pamela LeBlanc, Charles Mather, Sarah Sandham, Cydnee Seneviratne, Andrew Maitland
2012· article· en· Clinical Nursing Research· Medicine
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Commentary by Arnaert
Antonia Arnaert
2007· article· en· Clinical Nursing Research· Medicine
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Editorial
Patricia Hayes
2007· editorial· en· Clinical Nursing Research
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Circles of Research
Patricia Hayes
2006· editorial· en· Clinical Nursing Research· Social Sciences
machine prediction:candidate · metaresearchconsensus · none
1
citations
affno abstractunlabeled
Commentary by Fredericks
Suzanne Fredericks
2010· article· en· Clinical Nursing Research· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Commentary
Lorraine A. Watson
2005· article· en· Clinical Nursing Research· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Editorial
Patricia Hayes
2006· editorial· en· Clinical Nursing Research
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About