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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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Journal of the American Society of 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.

affaffiliation
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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.

1,870 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.
1,870 works in the cohort · of 4,299,418page 12 of 38

Labels cover 3 of 1,870 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 1,870 of 1,870 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
Responsible Use of Artificial Intelligence to Improve Kidney Care
Navdeep Tangri, Wisit Cheungpasitporn, Stanley Crittenden, Alessia Fornoni, Carmen A. Peralta, Karandeep Singh +2 more
2025· article· en· Journal of the American Society of Nephrology· Medicine
machine prediction:candidate · noneconsensus · none
22
citations
affunlabeled
Hemoglobin Variability in Dialysis Patients
K. Scott Brimble, Catherine M. Clase
2007· letter· en· Journal of the American Society of Nephrology· Medicine
machine prediction:candidate · noneconsensus · none
21
citations
afffundaboutunlabeled
Dialysis
David Churchill, Sarbjit V. Jassal
2014· letter· en· Journal of the American Society of Nephrology· Medicine
machine prediction:candidate · noneconsensus · none
14
citations
aboutno affunlabeled
ESAs in Dialysis Patients
Ajay Singh
2010· editorial· io· Journal of the American Society of Nephrology· Medicine
machine prediction:candidate · noneconsensus · none
13
citations
affunlabeled
Strategies to Prevent Hemodialysis Catheter Dysfunction
Benjamin Lazarus, Charmaine E. Lok, Louise Moist, Kevan R. Polkinghorne
2025· review· en· Journal of the American Society of Nephrology· Health Professions
machine prediction:candidate · noneconsensus · none
12
citations
affunlabeled
Galectin-3 and New-Onset CKD
Pietro Ravani, Brendan J. Barrett
2013· letter· en· Journal of the American Society of Nephrology· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
12
citations
afffundunlabeled
HCaRG Accelerates Tubular Repair after Ischemic Kidney Injury
Hiroyuki Matsuda, Julie L. Lavoie, Louis Gaboury, Pavel Hamet, Johanne Tremblay
2011· article· en· Journal of the American Society of Nephrology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
12
citations
aboutno affunlabeled
β-Blockers in Dialysis Patients
Gautam R. Shroff, Charles A. Herzog
2014· editorial· en· Journal of the American Society of Nephrology· Medicine
machine prediction:candidate · noneconsensus · none
12
citations
afffundunlabeled
A Roadmap for Disaster Risk Reduction and Management in Kidney Care
Shaifali Sandal, Saly El Wazze, Diya Nijjar, Isabelle Éthier, Lindsay Hales, S. Neil Finkle +2 more
2025· article· en· Journal of the American Society of Nephrology· Health Professions
machine prediction:candidate · noneconsensus · none
11
citations
affgemma · no categorygpt · no categorymodels agree
World Kidney Day
Allan J. Collins, William G. Couser, John H. Dirks, Joel D. Kopple, Thomas Reiser, Miguel C. Riella +3 more
2006· editorial· en· Journal of the American Society of Nephrology· Health Professions
machine prediction:candidate · noneconsensus · none
11
citations
affunlabeled
The Effects of Pantoprazole on Kidney Outcomes
Lonnie Pyne, Andrew Smyth, Amber O. Molnar, Paul Moayyedi, Eva Muehlhofer, Salim Yusuf +3 more
2024· article· en· Journal of the American Society of Nephrology· Medicine
machine prediction:candidate · noneconsensus · none
11
citations

How this was built: Screen · Findings · About