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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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Global Health and Surgery
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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.

1,735 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.
1,735 works in the cohort · of 4,299,418page 22 of 35

Labels cover 19 of 1,735 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 1,735 of 1,735 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.

afffundno abstractunlabeled
Thinking globally, training locally
Tristan C. Dumbarton, M. Dylan Bould
2016· editorial· en· Canadian Journal of Anesthesia/Journal canadien d anesthésie· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
The information gap
A. Vass
2001· article· en· BMJ· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
venueaboutno affunlabeled
Drifting sand, hiking tours and nice tans
T. Hartl
2009· article· en· Canadian Medical Association Journal· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affvenueno abstractunlabeled
Une ouverture sur le monde
Louise Potvin, Christina Zarowsky
2015· editorial· fr· Canadian Journal of Public Health· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Reflections on Medical Internationalism
John M. Kirk
2009· article· en· Latin American Perspectives· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
In Response
M. Dylan Bould, J. Bradley Cousins, Jenny Hoang, Yuanting Zha, V. Mark Gacii, Balavenkat Subramanian +1 more
2025· article· en· Anesthesia & Analgesia· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Supporting scientists who study and work abroad
Tanmoy Chakraborty, Hager Khaled Mekkawy, Karen Jacqueline Cloete, Ranjeet Singh Mahla, Dandan Peng, Arturo Pérez +19 more
2025· letter· en· Science· Medicine
machine prediction:candidate · metaresearchconsensus · none
1
citations
venueno affunlabeled
Health care in the caves
Tiago Villanueva Gutierrez Arruda Marques
2012· article· en· Canadian Medical Association Journal· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Doing International Health
Anne‐Emanuelle Birn, Yogan Pillay, Timothy H. Holtz
2009· book-chapter· en· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Health research saves lives
C Higgins
2020· article· en· European Journal of Public Health· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affaboutunlabeled
Across the globe in 4 months
Praveen Veerabhadrappa, Dylan Burger, Sofie Brouwers, Paraskevi Christofidou, Rana E.l. Bikai, Fady Hannah‐Shmouni +10 more
2015· editorial· en· Journal of Hypertension· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
1
citations

How this was built: Screen · Findings · About