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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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Organ Donation and Transplantation
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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.

1,856 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.
1,856 works in the cohort · of 4,299,418page 5 of 38

Labels cover 4 of 1,856 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 1,856 of 1,856 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.

affaboutunlabeled
The Lived Experience of “Being Evaluated” for Organ Donation
Camilla S. Hanson, Angelique F. Ralph, Karine Manera, John S. Gill, John Kanellis, Germaine Wong +3 more
2017· article· en· Clinical Journal of the American Society of Nephrology· Medicine
machine prediction:candidate · noneconsensus · none
36
citations
afffundaboutunlabeled
Acute dialysis risk in living kidney donors
Ngan N. Lam, Anjie Huang, Liane S. Feldman, John S. Gill, Martin Karpinski, J. Kim +9 more
2012· article· en· Nephrology Dialysis Transplantation· Medicine
machine prediction:candidate · noneconsensus · none
35
citations
affno abstractunlabeled
Diagnosis of brain death in children
SD Shemie, Murray M. Pollack, Masahiro Morioka, Stephen Bonner
2006· review· en· The Lancet Neurology· Medicine
machine prediction:candidate · noneconsensus · none
33
citations
affaboutunlabeled
Brain Death in Canadian PICUs
Ari R. Joffe, Sam D. Shemie, Catherine Farrell, Jamie Hutchison, Lisa McCarthy-Tamblyn
2012· article· en· Pediatric Critical Care Medicine· Medicine
machine prediction:candidate · noneconsensus · none
33
citations
fundno affunlabeled
The Living Kidney Donor Evaluation
Ajay Kher, Didier A. Mandelbrot
2012· review· en· Clinical Journal of the American Society of Nephrology· Medicine
machine prediction:candidate · noneconsensus · none
33
citations
affno abstractunlabeled
A needed Convention against trafficking in human organs
Marta López‐Fraga, Beatriz Domínguez‐Gil, Alexander Morgan Capron, Kristof Van Assche, Dominique Martin, Emanuele Cozzi +1 more
2014· article· en· The Lancet· Medicine
machine prediction:candidate · noneconsensus · none
33
citations
afffundunlabeled
End-stage renal disease risk in live kidney donors
Ngan N. Lam, Krista L. Lentine, Amit X. Garg
2014· article· en· Current Opinion in Nephrology & Hypertension· Medicine
machine prediction:candidate · noneconsensus · none
32
citations
affunlabeled
Bioethics for clinicians: 24. Brain death.
Neil M. Lazar, Sam D. Shemie, George C. Webster, Bernard M. Dickens
2001· article· en· PubMed· Medicine
machine prediction:candidate · noneconsensus · none
32
citations
affunlabeled
Culture, brain death, and transplantation
Kerry Bowman, Shawn A. Richard
2003· article· en· Progress in Transplantation· Medicine
machine prediction:candidate · noneconsensus · none
31
citations

How this was built: Screen · Findings · About