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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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Assistive Technology in Communication and Mobility
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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.

1,042 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.
1,042 works in the cohort · of 4,299,418page 2 of 21

Labels cover 4 of 1,042 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 1,042 of 1,042 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
Impact of wheelchair acquisition on social participation
Kate Rousseau-Harrison, Annie Rochette, François Routhier, Danielle Dessureault, François Thibault, Odile Côté
2009· article· en· Disability and Rehabilitation Assistive Technology· Health Professions
machine prediction:candidate · noneconsensus · none
61
citations
affno abstractunlabeled
Barriers to Wheelchair Use in the Winter
Jacquie Ripat, Cara L. Brown, Karen Ethans
2015· article· en· Archives of Physical Medicine and Rehabilitation· Health Professions
machine prediction:candidate · noneconsensus · none
54
citations
affunlabeled
Using assistive robots to promote inclusive education
Pedro Encarnação, Teresa Leite, Clarisse Nunes, Margarida Nunes da Ponte, Kim Adams, A. Cook +4 more
2016· article· en· Disability and Rehabilitation Assistive Technology· Health Professions
machine prediction:candidate · noneconsensus · none
52
citations
afffundno abstractunlabeled
Evaluation Tools for Assistive Technologies: A Scoping Review
Gordon Tao, Geoffrey Charm, Katarzyna Kabacińska, William C. Miller, Julie M. Robillard
2020· review· en· Archives of Physical Medicine and Rehabilitation· Health Professions
machine prediction:candidate · noneconsensus · none
45
citations
affunlabeled
Assistive Robots in Health Care Settings
Goldie Nejat, Yiyuan Sun, Mary A. Nies
2008· article· en· Home Health Care Management & Practice· Health Professions
machine prediction:candidate · noneconsensus · none
42
citations
affno abstractunlabeled
Using technology in special education: current practices and trends
Oluwabunmi Adewoyin Olakanmi, Gökçe Akçayır, Oluwbukola Mayowa Ishola, Carrie Demmans Epp
2020· article· en· Educational Technology Research and Development· Health Professions
machine prediction:candidate · noneconsensus · none
41
citations

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