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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.

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.

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 4 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 teacher distillation outputs. Candidate is the union; consensus is the intersection.

venueaboutno affunlabeled
Available Assistive Technology Outcome Measures: Systematic Review
Francesca Borgnis, Lorenzo Desideri, Rosa Maria Converti, Claudia Salatino
2023· review· en· JMIR Rehabilitation and Assistive Technologies· Health Professions
distilled prediction:candidate · metaresearch+metaepi_narrow+sts+research_integrity+insufficient_payloadconsensus · research_integrity
31
citations
affvenueaboutunlabeled
Measuring the Outcomes of Word Cueing Technology
Cynthia Tam, Janice Archer, Jennifer Mays, Gretchen Skidmore
2005· article· en· Canadian Journal of Occupational Therapy· Health Professions
distilled prediction:candidate · noneconsensus · none
29
citations
afffundaboutunlabeled
Access to Dental Services for People Using a Wheelchair
Farnaz Rashid-Kandvani, Belinda Nicolau, Christophe Bedos
2015· article· en· American Journal of Public Health· Health Professions
distilled prediction:candidate · noneconsensus · none
28
citations
afffundunlabeled
Development of the new Family Impact of Assistive Technology Scale
Stephen E. Ryan, Kent A. Campbell, Patricia Rigby, Barbara Germon, Betty Chan, Darlene Hubley
2006· article· en· International Journal of Rehabilitation Research· Health Professions
distilled prediction:candidate · noneconsensus · none
28
citations
affunlabeled
Tracking Mobility-Related Assistive Technology in an Outcomes Study
Louise Demers, Marcus J. Führer, Jeffrey W. Jutai, Marcia J. Scherer, Isabelle Pervieux, Frank DeRuyter
2008· article· en· Assistive Technology· Health Professions
distilled prediction:candidate · metaepi_narrow+sts+research_integrityconsensus · research_integrity
27
citations
afffundno abstractunlabeled
Mobility Challenges Among Older Adult Mobility Device Users
Oladele Ademola Atoyebi, Delphine Labbé, Mike Prescott, Atiya Mahmood, François Routhier, William C. Miller +1 more
2019· article· en· Current Geriatrics Reports· Health Professions
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · none
27
citations
affaboutunlabeled
Assistive technology use and unmet need in Canada
Anna Berardi, Emma Smith, William C. Miller
2020· article· en· Disability and Rehabilitation Assistive Technology· Health Professions
distilled prediction:candidate · metaresearch+metaepi_narrow+stsconsensus · none
26
citations

How this was built: Screen · Findings · About