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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
Evidence
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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 30 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.

aboutno affunlabeled
Tale of a Displaced Resident
Hugo St-Hilaire
2006· editorial· en· Plastic & Reconstructive Surgery· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Madagascar Workshop 2019
2019· article· en· OpenEdition (OpenEdition)· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueaboutno affunlabeled
Le cursus en santé mondiale en médecine familiale
Archna Gupta, Rachel Talavlikar, Victor Ng, Yelena Chorny, Aakriti Chawla, Michael Farrugia +3 more
2012· article· fr· Canadian Family Physician· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Editorials
2015· article· en· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Une expérience clinique à Bruxelles
Martin Roussy, Mindy Dionne
2008· article· fr· Journal of medical imaging and radiation sciences· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Global Health Care
William C. Cockerham
2025· book-chapter· en· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
Light of spirit.
Jonah Samson
2002· article· en· Canadian Medical Association Journal· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affvenueno abstractunlabeled
Partnership through Pandemic
Meghan Engbretson, Anne Rutherford
2020· article· en· Canadian Journal of Infection Control· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Reply
Andrew CF Hui
2002· article· fr· Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Now We Are Six
Peter J. Hotez, Serap Aksoy
2012· editorial· en· PLoS neglected tropical diseases· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Elizabeth Fee (1946–2018)
Anne‐Emanuelle Birn, Theodore M. Brown
2019· article· en· American Journal of Public Health· Medicine
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About