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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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American Journal of Kidney Diseases
Topic
Retraction
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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.

824 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.
824 works in the cohort · of 4,299,418page 15 of 17

Labels cover 4 of 824 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 824 of 824 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
Quiz Page JUNE 2013
Badria Al Ghaithi, Siew-Le Chong, R. Mardini, Seetha Radhakrishnan, Rohan John, Lisa A. Robinson
2013· article· en· American Journal of Kidney Diseases· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
2
citations
affno abstractunlabeled
Age and Outcomes in CKD
Navdeep Tangri, Paul Komenda, Claudio Rigatto
2013· letter· en· American Journal of Kidney Diseases· Medicine
machine prediction:candidate · noneconsensus · none
2
citations
fundno affno abstractunlabeled
A Deeper Dive Into Lipid Alterations in CKD
Denise C. Hasson, Casey M. Rebholz, Morgan E. Grams
2023· letter· en· American Journal of Kidney Diseases· Medicine
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Quiz
Venkat Sainaresh Vellanki, István Mucsi, Srinivas Velagala, Anila Abraham
2017· article· en· American Journal of Kidney Diseases· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affaboutno abstractRetractiongemma · no categorygpt · no categorymodels split
Retraction Notice to “Kidney Function and Rate of Bone Loss at the Hip and Spine: The Canadian Multicentre Osteoporosis Study” [Am J Kidney Dis. 55(2):291-299]
Sophie A. Jamal, Victoria Swan, Jacques P. Brown, David A. Hanley, Jerilynn C. Prior, Αλεξάνδρα Παπαϊωάννου +2 more
2016· retraction· en· American Journal of Kidney Diseases· Medicine
machine prediction:candidate · metaresearch+research_integrityconsensus · none
1
citations
affno abstractunlabeled
Slowly Unraveling the Mysteries of C3G
Daniel Cattran, Sanjeev Sethi
2021· letter· en· American Journal of Kidney Diseases· Medicine
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About