MétaCan
Menu
Cohort builder

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.

Search term
Author
Year range
Sort
Language
Type
Field
Venue
Ageing Research Reviews
Topic
Retraction
Abstract
Evidence source
Study design
Label agreement
Label status

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.

116 results · 1 filter active ·
Results by year
20022025
Publication date
Categories
Machine labels · sparse coverage
Evidence
Language
Type
Citations
An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
116 works in the cohort · of 4,299,418page 1 of 3

Labels cover 1 of 116 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 116 of 116 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
Aging in COVID-19: Vulnerability, immunity and intervention
Yiyin Chen, Sabra L. Klein, Brian T. Garibaldi, Huifen Li, Cunjin Wu, Nicole M. Osevala +4 more
2020· review· en· Ageing Research Reviews· Medicine
machine prediction:candidate · noneconsensus · none
1,054
citations
affno abstractunlabeled
Exercise, oxidative stress and hormesis
Zsolt Radák, Hae Young Chung, Erika Koltai, Albert W. Taylor, Sataro Goto
2007· review· en· Ageing Research Reviews· Medicine
machine prediction:candidate · noneconsensus · none
612
citations
afffundno abstractunlabeled
Mitochondrial dysfunction in aging
Ying Guo, Teng Guan, Kashfia Shafiq, Qiang Yu, Xin Jiao, Donghui Na +3 more
2023· review· en· Ageing Research Reviews· Medicine
machine prediction:candidate · noneconsensus · none
304
citations
afffundno abstractunlabeled
Senescence, sleep, and circadian rhythms
Seithikurippu R. Pandi‐Perumal, L.K Seils, Leonid Kayumov, Martin R. Ralph, Alan Lowe, Henry J. Moller +1 more
2002· review· en· Ageing Research Reviews· Neuroscience
machine prediction:candidate · noneconsensus · none
162
citations
afffundunlabeled
Aging in two languages: Implications for public health
Ellen Bialystok, Jubin Abutalebi, Thomas H. Bak, Deborah M. Burke, Judith F. Kroll
2016· review· en· Ageing Research Reviews· Neuroscience
machine prediction:candidate · noneconsensus · none
158
citations
affno abstractunlabeled
Neuroprotective effects of cognitive enrichment
Norton W. Milgram, Christina T. Siwak-Tapp, Joseph A. Araujo, Elizabeth Head
2006· review· en· Ageing Research Reviews· Neuroscience
machine prediction:candidate · noneconsensus · none
149
citations
affno abstractunlabeled
Targeting DNA methylation in cancer
Moshe Szyf
2003· review· en· Ageing Research Reviews· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
99
citations
affno abstractunlabeled
The multiple functions of melatonin in regenerative medicine
Maryam Majidinia, Rüssel J. Reiter, Seyed Kazem Shakouri, Iraj Mohebbi, Mojgan Rastegar, Mojtaba Kaviani +4 more
2018· review· en· Ageing Research Reviews· Neuroscience
machine prediction:candidate · noneconsensus · none
97
citations
affno abstractunlabeled
Sedentary behavior and the biological hallmarks of aging
Jérémy Raffin, Philipe de Souto Barreto, Anne Pavy‐Le Traon, Bruno Vellas, Mylène Aubertin‐Leheudre, Yves Rolland
2022· review· en· Ageing Research Reviews· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
75
citations
affno abstractunlabeled
Melatonin: Protection against age-related cardiac pathology
Gaia Favero, Lorenzo Franceschetti, Barbara Buffoli, Mohammed H. Moghadasian, Rüssel J. Reiter, Luigi Fabrizio Rodella +1 more
2016· review· en· Ageing Research Reviews· Neuroscience
machine prediction:candidate · noneconsensus · none
74
citations

How this was built: Screen · Findings · About