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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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Clinical Journal of the American Society of Nephrology
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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
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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.

723 results · 1 filter active ·
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20052025
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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.
723 works in the cohort · of 4,299,418page 15 of 15

Labels cover 3 of 723 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 723 of 723 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.

aboutno affunlabeled
Safety of SGLT2 Inhibitors in CKD
Mirela Dobre
2022· letter· en· Clinical Journal of the American Society of Nephrology· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affaboutunlabeled
Dimitrios G. Oreopoulos—An Appreciation
Joanne M. Bargman
2012· article· en· Clinical Journal of the American Society of Nephrology· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Donor Outcomes
Milda R. Saunders, Michelle A. Josephson
2018· letter· en· Clinical Journal of the American Society of Nephrology· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Stones, Bones, and Cardiovascular Groans
Eric N. Taylor
2015· letter· en· Clinical Journal of the American Society of Nephrology· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Bridging the “Employment Gap” for Dialysis Patients
Karthik Tennankore, Annie‐Claire Nadeau‐Fredette
2025· article· en· Clinical Journal of the American Society of Nephrology· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Predicting Risk in Peritoneal Dialysis
Maria Erika Ramirez, Joanne M. Bargman
2015· letter· en· Clinical Journal of the American Society of Nephrology· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
International Society for Peritoneal Dialysis Journal Club
Osama El Shamy, Ankur Shah, Megha Salani, Matthew B. Rivara, Isaac Teitelbaum, Robert R. Quinn +2 more
2025· article· en· Clinical Journal of the American Society of Nephrology· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Living Donation
María Ferris, Lourdes M. Díaz-González, Michael T Ferris
2018· letter· en· Clinical Journal of the American Society of Nephrology· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Interdisciplinary Care for Geriatric Syndromes in CKD
Aishwarya Subash, Maya Levinson, Kemberlee Bonnet, Rasheeda K. Hall, Fahad Saeed, Christine K. Liu +10 more
2025· article· en· Clinical Journal of the American Society of Nephrology· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Re-Examining Acute Peritoneal Dialysis
Peishan Lee, Brett Cullis, Christopher T. Chan
2024· article· en· Clinical Journal of the American Society of Nephrology· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
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