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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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Palliative Care and End-of-Life Issues
Retraction
Abstract
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Label agreement
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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
Evidence
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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 77 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.

affno abstractunlabeled
Palliative Peer Review: The Good, the Value and the Workload
Dina Thompson, Kimberly Cox, J. D. Loudon, Ivan Yeung, Woodrow Wells
2018· article· en· Journal of medical imaging and radiation sciences· Medicine
machine prediction:candidate · metaresearchconsensus · none
1
citations
aboutno affunlabeled
Medical-aid-in-dying use in the US Pacific Northwest
Charles D. Blanke, Michael LeBlanc, Dawn L. Hershman, Frank L. Meyskens, Lloyd A. Taylor, Lee M. Ellis
2018· article· en· Annals of Oncology· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Caring Sciences
Agnes Bjørn
2003· article· en· Scandinavian Journal of Caring Sciences· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affaboutunlabeled
Choosing Death in Rehabilitation
Jenny Young, Alister Browne
2008· article· en· Topics in Spinal Cord Injury Rehabilitation· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
venueno affno abstractunlabeled
10.1016/j.ysur.2015.03.165
2000· article· en· Time to knit· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
1
citations
affaboutunlabeled
Palliative Care Stakeholders in Canada
Jingjie Xiao, Carleen Brenneis, Konrad Fassbender
2020· preprint· en· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affaboutunlabeled
Crossing Over
David Barnard, Anna Towers, Patricia Boston, Yanna Lambrinidou
2022· book· en· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Reply to C.B. Simone II
Carl van Walraven, Dean Fergusson, Craig C. Earle, Nancy N. Baxter, Shabbir M.H. Alibhai, Blair Macdonald +2 more
2011· article· en· Journal of Clinical Oncology· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Assisted dying
Devyani Gajjar, Abbi Hobbs
2022· report· en· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
MAID is a Rigorous process
Donna Keystone
2020· letter· en· Canadian Family Physician· Medicine
machine prediction:candidate · metaresearchconsensus · none
1
citations
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