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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.

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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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Healthcare Systems and Challenges
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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.

482 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.
482 works in the cohort · of 4,299,418page 3 of 10

Labels cover 3 of 482 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 482 of 482 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
A Blairite before Blair?
Nick Timmins
2005· article· de· BMJ· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Mixed-sex wards – a surgeon's view
Christopher M. Butler
2009· article· en· Bulletin of The Royal College of Surgeons of England· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Authors' reply
Monique C. Saleh, Mark S. Wheeler, Catherine B. Chan
2003· article· pt· Diabetologia· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
Caution: elopement risk
L. Hazelton
2006· article· en· Canadian Medical Association Journal· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
A kinder, gentler age
Nicholas Timmins
2005· article· en· BMJ· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Douglas Booth Craig, MD, FRCPC
Judith Littleford
2024· editorial· fr· Canadian Journal of Anesthesia/Journal canadien d anesthésie· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
The Intersection of Identities
Manisha Salinas, Laura Flores, Roshell Muir, Kathleen E. Padilla, Emily M. Silver, Gianni R. Lorello
2021· letter· en· American Journal of Physical Medicine & Rehabilitation· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
affvenueno abstractunlabeled
How to help the unmatched medical student
Amit RL Persad
2023· article· en· Canadian Medical Education Journal· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
venueaboutno affunlabeled
Should Canada aim for #CovidZero?
Lauren Vogel
2020· article· en· Canadian Medical Association Journal· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
afffundunlabeled
Reply to Vanhems et al
Geoffrey Taylor, Robyn Mitchell, Allison McGeer, Charles Frenette, Kathryn N. Suh, Alice Wong +4 more
2014· letter· fr· Infection Control and Hospital Epidemiology· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
WUWHS 2012 — Better care, better life
Sadanori Akita
2012· editorial· en· Journal of Wound Care· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
venueaboutno affunlabeled
Rethink weight limits on morning-after pill
Lauren Vogel
2015· article· en· Canadian Medical Association Journal· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
afffundvenueaboutunlabeled
Trends colliding
Kamila Premji, Richard H. Glazier, Michael Green, Shahriar Khan, Maria Mathews, Steve Nastos +3 more
2025· article· en· Canadian Family Physician· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
Junior doctors may strike in the UK
Debra Martens
2015· article· en· Canadian Medical Association Journal· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Reason for rage
Zeba Arif
2013· article· en· Nursing Standard· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
fundno affunlabeled
Response: caught between two world views
Roopa Devadasan
2011· letter· en· Indian Journal of Medical Ethics· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Obstetric Staffing Challenges
Christiane Raby, Gail Hazlitt, Dorothy Lahr, Janet Brako, Marion Wilson, Robert E. Ariano
2005· article· en· AWHONN Lifelines· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
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How this was built: Screen · Findings · About