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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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Health Sciences Research and Education
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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
fundfunder
venuejournal
aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

2,679 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.
2,679 works in the cohort · of 4,299,418page 29 of 54

Labels cover 60 of 2,679 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 2,679 of 2,679 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
Common PGY-1: pro and con.
Brent D. Kennedy
2004· letter· en· PubMed· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
afffundvenueaboutunlabeled
From Partnership to Program: the Evolution of SHIRP
Susan Murphy
2017· article· en· Journal of the Canadian Health Libraries Association / Journal de l Association de bilbiothèques de la santé du Canada· Health Professions
machine prediction:candidate · scholarly_communicationconsensus · none
1
citations
affunlabeled
Staff Development Story
Peggy Jenkins
2008· article· en· Journal for Nurses in Staff Development· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
[no title]
Mohit Bhandari, Peter V. Giannoudis
2006· editorial· en· Injury· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
1
citations
venueaboutno affunlabeled
Why <i>CMAJ</i> writes editorials
Diane Kelsall, Matthew B. Stanbrook, Ken Flegel, Kirsten Patrick, E. W. Russell, B J Sibbald
2016· editorial· en· Canadian Medical Association Journal· Health Professions
machine prediction:candidate · metaresearchconsensus · none
1
citations
aboutno affunlabeled
Demystifying the NIH Proposal Review Process
Victoria J. Molfese, Joseph Cervelin, Pamela F. Miller
2007· article· en· Journal of Research Administration· Health Professions
machine prediction:candidate · metaresearchconsensus · metaresearch
1
citations
aboutno affunlabeled
Theme issue on knowledge translation.
Janet Curran, Mandi Newton
2009· editorial· fr· PubMed· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
affvenueaboutunlabeled
Librarian Support for Researchers in Ontario Hospitals
Mary McDiarmid, Michael Thomas Lam
2018· article· en· Journal of the Canadian Health Libraries Association / Journal de l Association de bilbiothèques de la santé du Canada· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
fundno affunlabeled
Gilbert J. Clausman, AHIP, FMLA, 1921–2011
Karen Brewer, Susan Crawford
2011· article· en· Journal of the Medical Library Association JMLA· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
With Gratitude to Michael L. Callaham, MD
Steven M. Green, Richelle J. Cooper, Richard C. Dart, David L. Schriger, Donald M. Yealy
2022· editorial· en· Annals of Emergency Medicine· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
affvenueunlabeled
Ice chips, death and calm
Neil Seeman
2022· article· en· Canadian Medical Association Journal· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Searching the Scientific Literature
Nancy M. Heddle, Kristin Gagliardi, Tom Flemming
2006· article· en· Health Professions
machine prediction:candidate · metaresearchconsensus · none
1
citations
venueaboutno affunlabeled
Happenings - Burgeoning Opportunities in Nursing Research
Nancy E. Edwards, Alba DiCenso, Lesley F. Degner, Linda O’Brien‐Pallas, Janice Lander
2016· article· en· Canadian Journal of Nursing Research· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About