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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.

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.

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 22 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.

affvenueunlabeled
Disabled medicine
K. Manders
2006· article· en· Canadian Medical Association Journal· Social Sciences
machine prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
Gender equity imbalance in electrocardiology: A call to action
Erica Clarke Whalen, Grace Xu, Iwona Cygankiewicz, Ljuba Bachárová, Wojciech Zaręba, Jonathan S. Steinberg +2 more
2017· editorial· en· Journal of Electrocardiology· Social Sciences
machine prediction:candidate · metaresearchconsensus · none
4
citations
aboutno affunlabeled
Surgeon Gender and Early Complications in Elective Surgery
Ilaria Caturegli, Ana Maria Pachano Bravo, Israa Abdellah, Moomtahina Fatima, Andrea C. Bafford, Suci Ardini Widyaningsih +1 more
2024· review· en· Annals of Surgery· Social Sciences
machine prediction:candidate · noneconsensus · none
4
citations
fundno affunlabeled
Women in Science: A Student Workshop at a University in Mexico
Daniela Gonzalez‐Cruz, Sofía Jezzini‐Martinez, Paloma Calafia Leyva Camacho, Ilse Janeth De la Rosa-Rodríguez, Andrea Flores Rodríguez, Karina Raygoza-Cortez +1 more
2023· article· en· International Journal of Medical Students· Social Sciences
machine prediction:candidate · noneconsensus · none
4
citations
affunlabeled
Hiring Your Next Partner
R. Dale Blasier, Michael R. Gagnon, Joseph P. Iannotti, Sandra Jarvis-Selinger
2014· review· en· Journal of Bone and Joint Surgery· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
4
citations
affno abstractunlabeled
Gender bias in academia
Holly O. Witteman
2019· letter· en· The Lancet· Social Sciences
machine prediction:candidate · metaresearchconsensus · none
4
citations
affno abstractunlabeled
Women in Cardiac Surgery: Closing the Equity Gap
Bobby Yanagawa, Marina Ibrahim, Jennifer S. Lawton
2023· article· en· Circulation· Social Sciences
machine prediction:candidate · metaresearchconsensus · none
4
citations

How this was built: Screen · Findings · About