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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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Frailty in Older Adults
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.

3,562 results · 1 filter active ·
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20002025
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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.
3,562 works in the cohort · of 4,299,418page 28 of 72

Labels cover 11 of 3,562 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 3,562 of 3,562 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
Preoperative frailty assessment: a review.
M. Bissot, Pierre Henin, Sophie Aunac, Benoît Colinet, Luc Barvais, Olivier Simonet +1 more
2018· article· en· PubMed· Medicine
machine prediction:candidate · noneconsensus · none
11
citations
aboutno affunlabeled
Frailty in older adults with amnestic mild cognitive impairment as a result of Alzheimer's disease: A comparison of two models of frailty characterization
Natália Oiring de Castro Cezar, Rafael Izbicki, Diego L. Cardoso, Jouce Gabriela de Almeida, Leandro Valiengo, Marina von Zuben de Arruda Camargo +3 more
2017· article· en· Geriatrics and gerontology international/Geriatrics & gerontology international· Medicine
machine prediction:candidate · noneconsensus · none
11
citations
affno abstractunlabeled
Intersecting Genetics of Frailty and Cardiovascular Disease
Yitzchok Ahisar, George Thanassoulis, Kristine Huang, Samuel M. Ohayon, Jonathan Afilalo
2021· article· en· The journal of nutrition health & aging· Medicine
machine prediction:candidate · noneconsensus · none
11
citations
affno abstractunlabeled
Frailty and Unintended Risks of Medications
David B. Hogan, Colleen J. Maxwell
2020· article· en· Current Epidemiology Reports· Medicine
machine prediction:candidate · noneconsensus · none
11
citations

How this was built: Screen · Findings · About