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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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Diversity and Career in Medicine
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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.

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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.

2,371 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.
2,371 works in the cohort · of 4,299,418page 33 of 48

Labels cover 16 of 2,371 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 2,371 of 2,371 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
Foot and Ankle Fellowship Faculty Research Productivity
Ansab Khwaja, Nathaniel Bridge, Nathan Sherman, Peter Z. Du
2020· article· en· Foot & Ankle Orthopaedics· Social Sciences
machine prediction:candidate · metaresearch+bibliometricsconsensus · none
1
citations
aboutno affunlabeled
Are Women Better Surgeons Than Men?
Tanvi Jain, K Meera, Samiran Nundy
2024· article· en· Journal of Medical Evidence· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Women in science: bridging gaps in basic sciences
Bhavita Kumari, Narjis Fatima Hussain, Stephen Kennedy, Aris T. Papageorghiou, Jai K Das, Zulfiqar A Bhutta
2025· article· en· Trends in Molecular Medicine· Social Sciences
machine prediction:candidate · metaresearchconsensus · none
1
citations

How this was built: Screen · Findings · About