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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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Canadian Journal of Emergency Medicine
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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.

3,932 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.
3,932 works in the cohort · of 4,299,418page 54 of 79

Labels cover 4 of 3,932 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 3,932 of 3,932 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.

affno abstractunlabeled
A “ticklish” belly button…
Tahira Daya, Conor McKaigney
2015· article· en· Canadian Journal of Emergency Medicine· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Reply
Jason Mitchell, Gerald Lazarenko
2009· article· pl· Canadian Journal of Emergency Medicine· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
The immigrant in me
Zainab Najarali
2021· editorial· en· Canadian Journal of Emergency Medicine· Psychology
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
“Not at the dinner table”
Gerhard Dashi
2020· article· en· Canadian Journal of Emergency Medicine· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
[The authors respond]
Riyad B. Abu‐Laban, Tim Rutledge
2008· article· sh· Canadian Journal of Emergency Medicine· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Safety first — sedate and shock
Andrew Healey, Mark Mensour, Thomas Märshall
2009· letter· en· Canadian Journal of Emergency Medicine· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Darkness in the North
Michelle C. Yee
2018· article· en· Canadian Journal of Emergency Medicine· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
LO062: Ultrasound-assisted distal radius fracture reduction
Steven J Socransky, Paul Atkinson, A. Skinner, Mark Bromley, A Smith, Peter S. Ross
2016· article· en· Canadian Journal of Emergency Medicine· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Something’s not right
Andrew Healey, Tia Renouf
2005· article· en· Canadian Journal of Emergency Medicine· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Urban legends
Jeffrey Eppler
2003· article· en· Canadian Journal of Emergency Medicine· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
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How this was built: Screen · Findings · About