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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 32 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.

affunlabeled
Global Health
Craig R. Janes
2014· other· en· The Wiley Blackwell Encyclopedia of Health, Illness, Behavior, and Society· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Global health education produces healers
Laurel Laakso
2016· article· en· DOAJ (DOAJ: Directory of Open Access Journals)· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
Going Blind in Nepal
Simon Parlow
2016· article· en· University of Ottawa Journal of Medicine· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
The global surgeon: Canada vs the UK
Barbara Jemec
2024· article· en· Bulletin of The Royal College of Surgeons of England· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Online resources in a global health curriculum.
Sarah Simms, Monica Kidd, Russell Dawe
2018· article· en· The Journal of Macrodynamic Analysis (Memorial University of Newfoundland)· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Development of core public health competencies for Ethiopia
Solomon Worku, Makonnen Assefa, Tegbar Yigzaw, Mirgissa Kaba, Yayehyirad Kitaw, Tesfaye Bulto
2020· article· en· Ethiopian Journal of Health Development· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
Bethune Round Table Abstracts 2017
Katherine Albutt, Fred Bulamba, Juru Gisele Bunogerane, Brendah Butali, Fidele Byiringiro, Ashley Cerqueira +115 more
2017· article· en· Canadian Journal of Surgery· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Developing Global Gastrointestinal Care Capacity
Matthew R Bryan, Gordon P. Bensen, Benjamin Wipper, Katie A. Dunleavy, Shikama Felicien, Prosper Ingabire +10 more
2025· article· en· Journal of Clinical Gastroenterology· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
venueaboutno affunlabeled
Bringing global health home
Sissi Cao, Han Yan
2014· article· en· University of Western Ontario Medical Journal· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
A Global Look at Young Scientists
Peter Gwynne
2015· article· en· Research-Technology Management· Medicine
machine prediction:candidate · metaresearchconsensus · none
0
citations

How this was built: Screen · Findings · About