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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
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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.

2,679 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.
2,679 works in the cohort · of 4,299,418page 43 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
Barriers to Research and Evidence (Editorial)
Alison Brettle
2013· article· en· DOAJ (DOAJ: Directory of Open Access Journals)· Health Professions
machine prediction:candidate · metaresearchconsensus · none
0
citations
affunlabeled
PharmGuide: Your Guide to Free Online Drug Information
Amy Chatfield, Trish Chatterley, Jean Siebert, Jonathan Koffel
2013· article· en· Medical Reference Services Quarterly· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affvenueunlabeled
Ask “WHY NOT?” Not “WHAT IF?”
Lynn Nagle
2017· article· en· Nursing leadership· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affvenueaboutunlabeled
Northern Alberta Health Libraries Association
Lisa Tjosvold
2012· article· fr· Journal of the Canadian Health Libraries Association / Journal de l Association de bilbiothèques de la santé du Canada· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
Evidence-based medicine V: how to use in clinical practice
Magdalena Fossum, Kathrine W. Herbst, Martin Kaefer, Luke Harper, Marco Castagnetti, Goedele M.A. Beckers +2 more
2019· article· en· Journal of Pediatric Urology· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueaboutno affunlabeled
The Flower Report: Libraries without walls – (almost) 20 years later
Trish Chatterley
2006· 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
0
citations
aboutno affunlabeled
Looking Forwards and Looking Back (Editorial)
Alison Brettle
2012· article· en· DOAJ (DOAJ: Directory of Open Access Journals)· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About