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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
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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.

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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.

3,562 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.
3,562 works in the cohort · of 4,299,418page 48 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
Predicting risk and outcomes for frail older adults
João Apóstolo, Elzbieta Bobrowicz‐Campos, Carol Holland, Richard Cooke, Sol Silva Santana, Maura Marcucci +3 more
2016· article· en· International Journal of Evidence-Based Healthcare· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
P1584FRAILTY IN MAINTENANCE HEMODIALYSIS PATIENTS
Zauresh Amreyeva, Gulnar Chingayeva, Abay Shepetov, Assiya Kanatbayeva, Arina Yespotayeva
2020· article· en· Nephrology Dialysis Transplantation· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Validity of model for predicting risk of relapse in MOGAD
Philippe‐Antoine Bilodeau, Brian C. Healy, E. Ann Yeh, Gavin Giovannoni, Christopher Hawkes, Jeannette Lechner-Scott +1 more
2025· article· en· Multiple Sclerosis and Related Disorders· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Fragilidade em idosos comunitários acompanhados na atenção primária à saúde
Franciele Santos de Oliveira, Ítala da Silva Martins, Laíze Gabriele de Castro Silva, Frankly Eudes Sousa Martins, Aline Patrício Dos Santos Bezerra, Ana Carolina Patricio de Alburqueque Sousa
2022· article· pt· Revista Brasileira de Ciências do Envelhecimento Humano· Medicine
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About