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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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Emergency Nurse
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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.

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

31 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.
31 works in the cohort · of 4,299,418page 1 of 1

Labels cover 0 of 31 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 31 of 31 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
W<scp>hy are we waiting</scp>?
Jane Ball, Michelle Dixon, Brian Dolan, Lynda Holt, Rosie Wilkinson
2000· article· en· Emergency Nurse· Decision Sciences
machine prediction:candidate · noneconsensus · none
32
citations
affunlabeled
Relieving the pressure?
Tina Donnelly
2008· article· en· Emergency Nurse· Health Professions
machine prediction:candidate · noneconsensus · none
6
citations
affunlabeled
Helping people who self-harm
Helen E. Blackwell, Lucy Palmer, Graham Hinchcliffe
2008· article· en· Emergency Nurse· Psychology
machine prediction:candidate · noneconsensus · none
3
citations
aboutno affunlabeled
How to identify measles
Siba Prosad Paul, Helen Adams, Karen Greaves
2016· article· en· Emergency Nurse· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Making sure staff measure up
Nicola Davis-Job
2014· article· en· Emergency Nurse· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Stroke as a clinical emergency
Matthew Gunning, Colin Thomas, Roger C. Thayne, Tom Quinn, Anton van Dellen
2006· article· en· Emergency Nurse· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Comment
Alan P. Dobson
2008· article· en· Emergency Nurse· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
The bigger picture
Janet Youd
2014· article· en· Emergency Nurse· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
News
2006· article· en· Emergency Nurse· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Emergency care in Wales
Tina Donnelly
2009· letter· en· Emergency Nurse· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
The value of ottawa ankle rules
Lynda Holt
2003· article· en· Emergency Nurse· Medicine
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About