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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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Empathy and Medical 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.

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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.

1,896 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.
1,896 works in the cohort · of 4,299,418page 35 of 38

Labels cover 5 of 1,896 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 1,896 of 1,896 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.

affno abstractunlabeled
Everything Medically Necessary
Raphael Rush
2011· article· en· American Journal of Kidney Diseases· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
The Art of Medicine
Tom A. Hutchinson
2017· book-chapter· en· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
It’s about time for untimely action
Benjamin Gagnon Chainey
2023· article· en· International Journal of Health Education· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
“New me”
Alan Blum
2019· article· en· Canadian Medical Association Journal· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affvenueunlabeled
Cramps and The Casual Consultation
Hector M Baillie
2020· article· en· Canadian Journal of General Internal Medicine· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
A Matter of “Care-Full” Consideration
Cynthia Jacqueline Alexander, Amy Tureen
2022· book-chapter· en· Advances in higher education and professional development book series· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Is it time to embrace change?
Helena Collier
2019· article· en· Journal of Aesthetic Nursing· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
We still have time
2018· article· en· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Speaking of pain
Todd Meyers
2025· article· en· The Lancet· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Scandal! Crisis! I Need Some Good News
Rosemary Killeen
2009· article· en· Canadian Pharmacists Journal / Revue des Pharmaciens du Canada· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Tricia's medicine
Lynne Pearce
2001· article· en· Nursing Standard· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Medical Students Learning on the COVID-19 Front Line
Ioanna Zimianiti, Vyshnavi Thanaraaj, Francesca Watson, Oluwapelumi Osibona
2021· article· en· JMIR Medical Education· Medicine
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About