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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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Kidney International
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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.

920 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.
920 works in the cohort · of 4,299,418page 14 of 19

Labels cover 4 of 920 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 920 of 920 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
Autosomal-recessive polycystic kidney disease
Patrick S. Parfrey
2005· article· en· Kidney International· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
15
citations
affno abstractunlabeled
Indinavir crystalluria
Raymonde F. Gagnon, A.I. Alli, Andrew Watters, Christos Tsoukas
2006· review· en· Kidney International· Medicine
machine prediction:candidate · noneconsensus · none
14
citations
affno abstractunlabeled
A new measure of ‘lay’ care-giver activities
Martha E. Horsburgh, Gail Laing, Heather Beanlands, Annie X. Meng, Lori Harwood
2008· article· en· Kidney International· Psychology
machine prediction:candidate · noneconsensus · none
14
citations
affno abstractunlabeled
The birth of @ISNeducation
Tejas Desai, Arvind Conjeevaram, Omar Taco, Sanjeev Nair, Sivakumar Sridharan, Rolando Claure‐Del Granado +19 more
2017· editorial· en· Kidney International· Health Professions
machine prediction:candidate · noneconsensus · none
13
citations
affno abstractunlabeled
Non-Pseudomonas Gram-negative peritonitis
Arsh K. Jain, Peter G. Blake
2006· letter· en· Kidney International· Medicine
machine prediction:candidate · noneconsensus · none
13
citations
afffundno abstractunlabeled
Renal prognosis of toxigenic Escherichia coli infection
Amit X. Garg, Marina I. Salvadori, Louise Moist, Rita S. Suri, William F. Clark
2009· review· en· Kidney International· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
11
citations
fundno affno abstractunlabeled
Grams ME, Sang Y, Ballew SH, et al, for the Chronic Kidney Disease Prognosis Consortium. Predicting timing of clinical outcomes in patients with chronic kidney disease and severely decreased glomerular filtration rate. Kidney Int. 2018;93:1442–1451
Brad C. Astor, Adeera Levin, Mila Tang, Ognjenka Djurdjev, Sankar D. Navaneethan, Stacey E. Jolly +109 more
2018· erratum· en· Kidney International· Medicine
machine prediction:candidate · noneconsensus · none
9
citations

How this was built: Screen · Findings · About