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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
Evidence
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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 28 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
The road to gender equity in surgery is long
Evan Tannenbaum, Michèle Farrugia
2019· letter· en· Canadian Journal of Surgery· Social Sciences
machine prediction:candidate · noneconsensus · none
2
citations
venueaboutno affunlabeled
How can medicine close its gender pay gap?
Diana Duong
2021· article· en· Canadian Medical Association Journal· Social Sciences
machine prediction:candidate · metaresearchconsensus · none
2
citations
affno abstractunlabeled
Potential gender remuneration gaps in anesthesiology
Gianni R. Lorello, Alana M. Flexman
2018· letter· en· Canadian Journal of Anesthesia/Journal canadien d anesthésie· Social Sciences
machine prediction:candidate · metaresearchconsensus · none
2
citations
affvenueaboutunlabeled
Why are we ignoring gender equity in surgery?
Edward J. Harvey, Chad G. Ball
2023· editorial· en· Canadian Journal of Surgery· Social Sciences
machine prediction:candidate · metaresearchconsensus · none
2
citations
aboutno affunlabeled
Editorial: Pediatric neurosurgery
John C. Wellons
2013· editorial· en· Journal of Neurosurgery Pediatrics· Social Sciences
machine prediction:candidate · noneconsensus · none
2
citations
affaboutno abstractunlabeled
Vascular surgery resident training in Canada
Audra A. Duncan, Adam Power
2019· article· en· Seminars in Vascular Surgery· Social Sciences
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Letter to the editor
Eve Purdy, Samantha A Batt-Rawden, Jae Won Joh, S. Luckett‐Gatopoulos, Alim Pardhan, Saroo Sharda +1 more
2019· letter· en· The American Journal of Emergency Medicine· Social Sciences
machine prediction:candidate · noneconsensus · none
2
citations
venueaboutno affunlabeled
Correction
2004· article· en· Canadian Medical Association Journal· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
2
citations
affaboutunlabeled
Hold the door open: The road to a culture of inclusion
Laurie A. Hiemstra, Elizabeth A. Arendt
2022· editorial· en· Journal of ISAKOS Joint Disorders & Orthopaedic Sports Medicine· Social Sciences
machine prediction:candidate · noneconsensus · none
2
citations
affvenueaboutunlabeled
Pediatric Neurology Workforce in Canada: A 5-Year Update
Lauren E. Strasser, Serena L. Orr, Hugh J. McMillan, Asif Doja, David Callen
2019· article· en· Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques· Social Sciences
machine prediction:candidate · metaresearchconsensus · none
2
citations

How this was built: Screen · Findings · About