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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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Technology Use by Older Adults
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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.

affaffiliation
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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.

1,378 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.
1,378 works in the cohort · of 4,299,418page 17 of 28

Labels cover 9 of 1,378 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 1,378 of 1,378 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.

affunlabeled
The impact of age on website usability
Nicole Wägner
2014· article· en· Computers in Human Behavior· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affaboutunlabeled
Editorial: Gerontechnologies for home support
Alexander Moreno, Henk Herman Nap, Sumi Helal, Gloria Gutman
2024· editorial· en· Frontiers in Psychology· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
fundno affunlabeled
Post-pandemic Digital Realities of Older Adults
Loredana Ivan, Hannah R. Marston, Dennis Rosenberg
2023· book· en· Frontiers research topics· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
Research Priorities for the 1990's
Larry Haiven
2005· article· en· Relations industrielles· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Applying Modeling to Design for Older Populations
Lila Laux, Cathy Bodine, Neil Charness, Nancy J. Cooke, Brian Peacock, Chris Edwards +2 more
2003· article· en· Proceedings of the Human Factors and Ergonomics Society Annual Meeting· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Public opinion on types of voice systems for older adults
Noah Zijie Qu, Jamy Li, Jaturong Kongmanee, Mark Chignell
2024· article· en· Journal of Rehabilitation and Assistive Technologies Engineering· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
Aging, Every-day Information and Technology Use
Isto Huvila
2020· article· fr· Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
afffundaboutunlabeled
Innovation processes for ageing-related health technologies
Melissa Koch, Paul Stolee, Maggie MacNeil, Jacobi Elliott, Plinio Pelegrini Morita, Ayse Kuspinar +1 more
2020· article· en· Healthcare Management Forum· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About