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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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Trauma and Emergency Care Studies
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
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.

2,127 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.
2,127 works in the cohort · of 4,299,418page 21 of 43

Labels cover 10 of 2,127 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 2,127 of 2,127 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.

afffundaboutunlabeled
Trauma team leaders in Canada: A national survey
Vincent Belhumeur, Christian Malo, Alexandra Nadeau, Sandrine Hegg-Deloye, Anne-Julie Gagné, Marcel Émond
2019· article· en· Trauma· Medicine
machine prediction:candidate · noneconsensus · none
4
citations
affaboutunlabeled
Fluid Resuscitation in the Canadian Forces
Ronald Brisebois
2003· review· en· The Journal of Trauma: Injury, Infection, and Critical Care· Medicine
machine prediction:candidate · noneconsensus · none
4
citations
aboutno affunlabeled
Global Connections: Telemedicine as a Tool to extend Trauma Education
Nicholas Namias, Antonio Marttos, Fernanda M Kuchkarian, Daniel Fernando Baquero Rojas, Francisco S Collet-Silva, Cleinaldo de Almeida Costa +2 more
2013· article· en· Panamerican Journal of Trauma Critical Care & Emergency Surgery· Medicine
machine prediction:candidate · noneconsensus · none
4
citations
affvenueaboutunlabeled
Hospitalisations pour blessure au Canada en 2018-2019
Xiaoquan Yao, Robin Skinner, Steven McFaull, Wendy Thompson
2020· article· fr· Promotion de la santé et prévention des maladies chroniques au Canada· Medicine
machine prediction:candidate · noneconsensus · none
3
citations
venueno affno abstractunlabeled
10.1016/s0246-0289(15)59045-2
R. Jouffroy, O. Langeron, B. Riou, B. Vivien
2000· article· en· Time to knit· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
3
citations
venueaboutno affunlabeled
Canada’s emergency medicine shortfall
Roger Collier
2016· article· en· Canadian Medical Association Journal· Medicine
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
The Trauma THOMPSON Challenge Report MICCAI 2023
Yupeng Zhuo, Andrew W. Kirkpatrick, Kyle Couperus, Oanh Tran, Juan Wachs
2024· book-chapter· en· Lecture notes in computer science· Medicine
machine prediction:candidate · noneconsensus · none
3
citations

How this was built: Screen · Findings · About