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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
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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.

5,852 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.
5,852 works in the cohort · of 4,299,418page 79 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.

affvenueaboutunlabeled
Ethical Implications of End-Of-Life Decisions
Elisheva Tamar Anne Nemetz, Ryan S. Huang
2024· article· en· Canadian Journal of Bioethics· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
End of Life: Care Ethical Perspectives
Carlo Leget, Helen Kohlen
2020· book-chapter· en· Philosophy and medicine· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affvenueunlabeled
An end too soon?
Daniel Rayson
2022· article· en· Canadian Medical Association Journal· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Type II Oncologists
Mary L. S. Vachon
2009· letter· en· Journal of Palliative Medicine· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Key concepts and opportunities
Benzi M. Kluger, Janis M. Miyasaki
2022· review· en· Handbook of clinical neurology· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affno abstractunlabeled
Recalibrating emergency care in the UK
The Lancet Oncology
2015· editorial· en· The Lancet Oncology· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Person-Centered Palliative Care
Odette Spruijt, Dante E. Manyari, Rachel Halpin-Evans, Paul Glare
2023· book-chapter· en· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
afffundvenueunlabeled
Medical assistance in dying and older adults
Genevieve M. Casey, Frank Molnar, Chris Frank, Gurmeet K. Sohi, Jocelyn Chase
2022· article· en· Canadian Family Physician· Medicine
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About