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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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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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venuejournal
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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.

2,224 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.
2,224 works in the cohort · of 4,299,418page 24 of 45

Labels cover 25 of 2,224 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 2,224 of 2,224 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
Panel discussion: Our workforce for the future
Helen Dalley, Deborah J. Terry, Michael Holstrom, D. Brian Jones, Nick Ghamgosar
2022· article· en· The APPEA Journal· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Principal Innovator: The Other PI
Thomas Ungar, Madalyn Marcus
2016· letter· en· Academic Medicine· Medicine
machine prediction:candidate · metaresearchconsensus · none
0
citations
aboutno affunlabeled
References
2007· article· en· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Global collaboration
Andrew O. Fung
2012· article· en· Nature· Medicine
machine prediction:candidate · metaresearch+bibliometricsconsensus · none
0
citations
venueno affunlabeled
MedBulletin
The Meducator, Shadi Sadeghian, Sophie Zarb, Meera Chopra, Adrian Wong
2019· article· en· The Meducator· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Postdoctoral Program Guidelines
Laura Biedermann, Jose Luis Cruz‐Campa, Isaac Ekoto, Summer Ferreira, Lisa Hall, Xiaohua Liu +4 more
2012· report· en· Medicine
machine prediction:candidate · metaresearchconsensus · none
0
citations
aboutno affunlabeled
Canada's call
Mona Nemer
2018· editorial· en· Science· Medicine
machine prediction:candidate · metaresearchconsensus · none
0
citations
fundno affno abstractunlabeled
Doctoral New Investigator (DNI) Grants
2023· book-chapter· en· Palgrave Macmillan UK eBooks· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affaboutunlabeled
Michael Gordon and Humanism
Paula A. Rochon
2020· letter· en· Journal of the American Geriatrics Society· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
Canada: Quebec's research ambitions
Hannah Hoag
2011· article· en· Nature· Medicine
machine prediction:candidate · metaresearchconsensus · none
0
citations
affunlabeled
Not Much Feels Right
Kaylee Novack
2023· article· en· Journal of Graduate Medical Education· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
OA mandate at the CIHR
Peter Suber
2007· preprint· en· Medicine
machine prediction:candidate · scholarly_communication+open_scienceconsensus · none
0
citations

How this was built: Screen · Findings · About