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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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Palliative Care and End-of-Life Issues
Retraction
Abstract
Evidence source
Study design
Label agreement
Label status

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.

5,852 results · 1 filter active ·
Results by year
20002025
Publication date
Categories
Machine labels · sparse coverage
Evidence
Language
Type
Citations
An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
5,852 works in the cohort · of 4,299,418page 90 of 118

Labels cover 26 of 5,852 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 5,852 of 5,852 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
The curious case of Dr. A
B.J. Smith
2014· article· en· Palliative & Supportive Care· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Response
Kyoko Wada, Michael J. Szego
2020· letter· en· Gastrointestinal Endoscopy· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Message de la rédactrice en chef invitée
Natalie Rozanec
2022· editorial· fr· Journal of medical imaging and radiation sciences· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affvenueaboutunlabeled
Law catching up with ethics
John R. Williams
2020· letter· en· Canadian Medical Association Journal· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Experience
John Mathew
2025· article· en· Practical Radiation Oncology· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Shared Decision-Making at the End of Life
Simone Cernesi, Victoria Hewitt, Mathieu Jackson, Maria Stella Padula, Francesca Rossi, Ilaria Rossiello
2024· book-chapter· en· Practical issues in geriatrics· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Navigating "Assisted Dying".
Harvey Schipper
2016· article· en· PubMed· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Pandemic and the Art of Dying Well
Lester Liao, Lydia S. Dugdale
2022· article· en· Southern Medical Journal· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Education of hospital nurses on palliative care
Sandra Lovrić
2016· dissertation· hr· Dr Med - University of Zagreb School of Medicine Digital Repository· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Response
Barret Rush, Paul Hertz, Alexandra Bond, Robert C. McDermid, Leo Anthony Celi
2017· letter· en· CHEST Journal· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations

How this was built: Screen · Findings · About