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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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Nature Reviews Nephrology
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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.

127 results · 1 filter active ·
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20092025
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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.
127 works in the cohort · of 4,299,418page 2 of 3

Labels cover 0 of 127 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 127 of 127 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
Disasters and kidney care: pitfalls and solutions
Mehmet Şükrü Sever, Valérie A. Luyckx, Marcello Tonelli, Rümeyza Kazancıoğlu, Darlene Rodgers, Dani Gallego +2 more
2023· review· en· Nature Reviews Nephrology· Medicine
machine prediction:candidate · noneconsensus · none
54
citations
affno abstractunlabeled
Patient-centred clinical trial design
Allison Tong, Nicole Scholes‐Robertson, Carmel M. Hawley, Andrea K. Viecelli, Simon Carter, Adeera Levin +3 more
2022· review· en· Nature Reviews Nephrology· Health Professions
machine prediction:candidate · metaresearchconsensus · none
52
citations
affno abstractunlabeled
Designing acute kidney injury clinical trials
Alexander Zarbock, Lui G. Forni, Marlies Ostermann, Claudio Ronco, Sean M. Bagshaw, Ravindra L. Mehta +2 more
2023· review· en· Nature Reviews Nephrology· Medicine
machine prediction:candidate · metaresearchconsensus · none
51
citations
affno abstractunlabeled
Clonal haematopoiesis, ageing and kidney disease
Caitlyn Vlasschaert, Matthew B. Lanktree, Michael J. Rauh, Tanika N. Kelly, Pradeep Natarajan
2023· review· en· Nature Reviews Nephrology· Medicine
machine prediction:candidate · noneconsensus · none
36
citations
afffundno abstractunlabeled
Collagen formation, function and role in kidney disease
Vanessa De Gregorio, Moumita Barua, Rachel Lennon
2024· review· en· Nature Reviews Nephrology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
34
citations
afffundno abstractunlabeled
Clinical practice recommendations for kidney involvement in tuberous sclerosis complex: a consensus statement by the ERKNet Working Group for Autosomal Dominant Structural Kidney Disorders and the ERA Genes & Kidney Working Group
Djalila Mekahli, Roman‐Ulrich Müller, Matko Marlais, Tanja Wlodkowski, Stefanie Haeberle, Marta López-Argumedo +17 more
2024· review· en· Nature Reviews Nephrology· Medicine
machine prediction:candidate · noneconsensus · none
33
citations
afffundno abstractunlabeled
Calcium signalling and transport in the kidney
Alexander Staruschenko, R. Todd Alexander, Michael J. Caplan, Daria V. Ilatovskaya
2024· review· en· Nature Reviews Nephrology· Medicine
machine prediction:candidate · noneconsensus · none
28
citations
affno abstractunlabeled
A new era in the science and care of kidney diseases
Carmine Zoccali, Francesca Mallamaci, Liz Lightstone, Vivekanand Jha, Carol A. Pollock, Katherine R. Tuttle +7 more
2024· review· en· Nature Reviews Nephrology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
24
citations
afffundno abstractunlabeled
Timing of renal replacement therapy in AKI
Sean M. Bagshaw, Ron Wald
2016· review· en· Nature Reviews Nephrology· Medicine
machine prediction:candidate · noneconsensus · none
20
citations
affno abstractunlabeled
Dialysis and cognitive impairment
Christopher W. McIntyre, Arsh Jain
2025· review· en· Nature Reviews Nephrology· Medicine
machine prediction:candidate · noneconsensus · none
19
citations
affno abstractunlabeled
The peritoneal–renal syndrome
Sharon J. Nessim, Joanne M. Bargman
2013· review· en· Nature Reviews Nephrology· Medicine
machine prediction:candidate · noneconsensus · none
13
citations
affno abstractunlabeled
Expanding the global nephrology workforce
Ikechi G. Okpechi, Somkanya Tungsanga, Anukul Ghimire, David W. Johnson, Aminu K. Bello
2024· review· en· Nature Reviews Nephrology· Medicine
machine prediction:candidate · noneconsensus · none
12
citations
affno abstractunlabeled
Bridging the gap of referral to nephrology care
Néstor Oliva-Dámaso, Navdeep Tangri, Pierre Delanaye, Richard J. Glassock
2023· review· en· Nature Reviews Nephrology· Medicine
machine prediction:candidate · noneconsensus · none
8
citations
affno abstractunlabeled
Global landscape of kidney health across Indigenous populations
Somkanya Tungsanga, Ikechi G. Okpechi, María Eugenia Bianchi, Swasti Chaturvedi, David Collister, Harley Crowshoe +21 more
2025· review· en· Nature Reviews Nephrology· Social Sciences
machine prediction:candidate · noneconsensus · none
5
citations
affno abstractunlabeled
Considerations in the care of transgender persons
Sofia B. Ahmed, Lauren B. Beach, Joshua D. Safer, Jaimie F. Veale, Cameron T. Whitley
2023· review· en· Nature Reviews Nephrology· Psychology
machine prediction:candidate · noneconsensus · none
5
citations
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