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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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Emergency and Acute Care Studies
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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.

2,896 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.
2,896 works in the cohort · of 4,299,418page 47 of 58

Labels cover 7 of 2,896 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 2,896 of 2,896 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.

aboutno affunlabeled
Médecine d’urgence : ce qui a changé en 2022
Francisca L. Nogueira de Azevedo, Cécile Buffenoir, Sylvain Rossier, Alice Oggier, Axelle Massuyeau, Mathieu Affaticati +2 more
2023· article· fr· Revue Médicale Suisse· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
More steroids or less? That is the question!
Adrienne K. Chan, Kevin Sanders, David McNeely, Allan S. Detsky
2006· article· en· Journal of Hospital Medicine· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
We can persevere and fail, or reform and thrive
Paul Atkinson, Grant Innes, Ken McGeorge
2022· letter· en· Canadian Journal of Emergency Medicine· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
What would Osler do?
Howard Ovens
2019· letter· en· Canadian Journal of Emergency Medicine· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Early Hospital Readmission
Rahul Mainra
2018· letter· en· Transplantation· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
From the prehospital literature
2007· article· en· Emergency Medicine Journal· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Tell me why, I don’t like Mondays
David Petrie, Howard Ovens
2024· editorial· en· Canadian Journal of Emergency Medicine· 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
affunlabeled
OSCE Revision for the Final FRCEM
Rachel Goss, Emma McMaster, Stephanie Rennie
2021· book· en· Oxford University Press eBooks· Medicine
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About