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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 8 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.

afffundunlabeled
Women in cardiac surgery: a global workforce analysis
Aliya Izumi, Grace Lee, Zoya Gomes, Maral Ouzounian, Penelope Adinku, Lorena Montes +1 more
2024· article· en· European Journal of Cardio-Thoracic Surgery· Social Sciences
machine prediction:candidate · metaresearchconsensus · none
22
citations
affno abstractunlabeled
Obstetrics and gynaecology training in Europe needs a next step
Fedde Scheele, Živa Novak, K. Vetter, Nicolette Caccia, Angelique J. Goverde
2014· review· en· European Journal of Obstetrics & Gynecology and Reproductive Biology· Social Sciences
machine prediction:candidate · metaresearchconsensus · none
22
citations
affunlabeled
Gender Bias in the Evaluation of Surgical Performance
Mara B. Antonoff, Hope Feldman, Jessica G.Y. Luc, Paula Iaeger, Michael Rubin, Liang Li +1 more
2021· article· en· Annals of Surgery· Social Sciences
machine prediction:candidate · metaresearchconsensus · none
21
citations
affunlabeled
Training To Serve Unmet Surgical Needs Worldwide
Robert J. Blanchard, Ronald C. Merrell, Glenn W. Geelhoed, Olajide O. Ajayi, Donald R. Laub, Edgar B. Rodas
2001· article· en· Journal of the American College of Surgeons· Social Sciences
machine prediction:candidate · noneconsensus · none
20
citations
affaboutunlabeled
In-group bias in residency selection
Adam Bass, Caren Wu, Jeffrey P. Schaefer, Bruce Wright, Kevin McLaughlin
2013· article· en· Medical Teacher· Social Sciences
machine prediction:candidate · noneconsensus · none
20
citations

How this was built: Screen · Findings · About