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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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Sex and Gender in Healthcare
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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
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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.

1,118 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.
1,118 works in the cohort · of 4,299,418page 4 of 23

Labels cover 22 of 1,118 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 1,118 of 1,118 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
Sex Matters for Mechanism
Jayne S. Danska
2014· article· en· Science Translational Medicine· Medicine
machine prediction:candidate · noneconsensus · none
34
citations
affunlabeled
Sex and critical illness
Robert Fowler, Woganee A Filate, Michael Hartleib, David Frost, Chris Lazongas, Michelle Hladunewich
2009· review· en· Current Opinion in Critical Care· Medicine
machine prediction:candidate · noneconsensus · none
33
citations
aboutno affunlabeled
Women and Health
Marlene Goldman, Maureen Hatch
2012· book· en· Medical Entomology and Zoology· Medicine
machine prediction:candidate · noneconsensus · none
31
citations
affunlabeled
Readying the Workforce
Natalya C. Maisel, Sally G. Haskell, Patricia M. Hayes, Vidhya Balasubramanian, Anupama H. Torgal, Lakshmi Ananth +4 more
2015· article· en· Medical Care· Medicine
machine prediction:candidate · noneconsensus · none
30
citations
affaboutunlabeled
Promoting inclusion, diversity, and equity in pain science
Tonya M. Palermo, Karen D. Davis, Didier Bouhassira, Robert W. Hurley, Joel Katz, Francis J. Keefe +3 more
2023· article· en· Pain· Medicine
machine prediction:candidate · open_scienceconsensus · none
29
citations
affno abstractunlabeled
Alzheimer disease seen through the lens of sex and gender
Laura Castro‐Aldrete, Melanie Einsiedler, J Martínková, Herman Depypere, Ting Fang Alvin Ang, Michelle M. Mielke +8 more
2025· review· en· Nature Reviews Neurology· Medicine
machine prediction:candidate · noneconsensus · none
27
citations

How this was built: Screen · Findings · About