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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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Aging Cell
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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.

182 results · 1 filter active ·
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20032025
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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.
182 works in the cohort · of 4,299,418page 1 of 4

Labels cover 0 of 182 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 182 of 182 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.

afffundunlabeled
<scp>DNA</scp> methylation and healthy human aging
Meaghan J. Jones, Sarah J. Goodman, Michael S. Kobor
2015· review· en· Aging Cell· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
947
citations
affunlabeled
Measuring biological aging in humans: A quest
Luigi Ferrucci, Marta González‐Freire, Elisa Fabbri, Eleanor M. Simonsick, Toshiko Tanaka, Zenobia Moore +2 more
2019· review· en· Aging Cell· Medicine
machine prediction:candidate · noneconsensus · none
777
citations
affunlabeled
Reversal of epigenetic aging and immunosenescent trends in humans
Gregory M. Fahy, Robert T. Brooke, J. P. Watson, Zinaida Good, Shreyas Vasanawala, Holden T. Maecker +4 more
2019· article· en· Aging Cell· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
498
citations
affunlabeled
Human serum metabolic profiles are age dependent
Zhonghao Yu, Guangju Zhai, Paula Singmann, Ying He, Tao Xu, Cornelia Prehn +16 more
2012· article· en· Aging Cell· Medicine
machine prediction:candidate · noneconsensus · none
356
citations
affunlabeled
On the evolutionary origin of aging
Martin Ackermann, Lin Chao, Carl T. Bergstrom, Michael Doebeli
2007· article· en· Aging Cell· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
234
citations
affunlabeled
Tissue‐specific dysregulation of DNA methylation in aging
Reid F. Thompson, Gil Atzmon, Ciprian P. Gheorghe, Hong Qian Liang, Christina Lowes, John M. Greally +1 more
2010· article· en· Aging Cell· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
204
citations
afffundunlabeled
Immunity and aging: the enemy within?
Brian DeVeale, Ted Brummel, Laurent Seroude
2004· review· en· Aging Cell· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
172
citations
affunlabeled
Sex‐specific aging in animals: Perspective and future directions
Anne M. Bronikowski, Richard P. Meisel, Peggy R. Biga, James R. Walters, Judith E. Mank, Erica Larschan +11 more
2022· review· en· Aging Cell· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
97
citations

How this was built: Screen · Findings · About