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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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Chronic Kidney Disease and Diabetes
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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.

1,570 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.
1,570 works in the cohort · of 4,299,418page 16 of 32

Labels cover 2 of 1,570 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 1,570 of 1,570 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.

fundno affunlabeled
Plasma proteomics of acute tubular injury
Insa M. Schmidt, Aditya Surapaneni, Runqi Zhao, D. Upadhyay, Wan-Jin Yeo, Pascal Schlosser +27 more
2024· article· en· Nature Communications· Medicine
machine prediction:candidate · noneconsensus · none
14
citations
fundno affunlabeled
The 2021–2022 position of Brazilian Diabetes Society on diabetic kidney disease (DKD) management: an evidence-based guideline to clinical practice. Screening and treatment of hyperglycemia, arterial hypertension, and dyslipidemia in the patient with DKD
João Roberto de Sá, Érika Bevilaqua Rangel, Luís Henrique Santos Canani, Andréa Carla Bauer, Gustavo Monteiro Escott, Themis Zelmanovitz +2 more
2022· article· en· Diabetology & Metabolic Syndrome· Medicine
machine prediction:candidate · noneconsensus · none
13
citations
affunlabeled
Advanced chronic kidney disease among UK children
Lucy Plumb, Winnie Magadi, Anna Casula, B. C. Reynolds, Mairead Convery, Shuman Haq +12 more
2022· article· en· Archives of Disease in Childhood· Medicine
machine prediction:candidate · noneconsensus · none
13
citations
affgemma · no categorygpt · no categorymodels agree
Biomarkers of tubulointerstitial damage and function in type 1 diabetes
Ian H. de Boer, Xiaoyu Gao, Ionut Bebu, Andrew N. Hoofnagle, John M. Lachin, Andrew D. Paterson +5 more
2017· article· en· BMJ Open Diabetes Research & Care· Medicine
machine prediction:candidate · noneconsensus · none
13
citations
affno abstractunlabeled
Role of apolipoprotein E in renal damage protection
Francesca Bonomini, Luigi Fabrizio Rodella, Mohammed H. Moghadasian, Claudio Lonati, Raymond Coleman, Rita Rezzani
2011· article· en· Histochemistry and Cell Biology· Medicine
machine prediction:candidate · noneconsensus · none
12
citations
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