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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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Canadian Journal of Occupational Therapy
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Retraction
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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.

1,102 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.
1,102 works in the cohort · of 4,299,418page 15 of 23

Labels cover 7 of 1,102 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 1,102 of 1,102 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.

venueno affno abstractunlabeled
Unbecoming change agents
2022· editorial· en· Canadian Journal of Occupational Therapy· Health Professions
machine prediction:candidate · noneconsensus · none
4
citations
venueaboutno affunlabeled
Our reach matters
Jane A. Davis, Kaitlyn D. Voyce
2015· editorial· en· Canadian Journal of Occupational Therapy· Health Professions
machine prediction:candidate · noneconsensus · none
4
citations
venueno affno abstractunlabeled
Mettre l’occupation au cœur de nos actions
Catherine Vallée
2020· article· fr· Canadian Journal of Occupational Therapy· Social Sciences
machine prediction:candidate · noneconsensus · none
3
citations
venueno affunlabeled
Giving credit where credit is due
Jane A. Davis, Helene J. Polatajko
2015· editorial· en· Canadian Journal of Occupational Therapy· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
3
citations
venueno affno abstractunlabeled
De l’éthique à l’ergothérapie
Julie Lapointe
2014· article· fr· Canadian Journal of Occupational Therapy· Health Professions
machine prediction:candidate · noneconsensus · none
3
citations
affvenueunlabeled
National Perspective
Mary Egan
2003· article· en· Canadian Journal of Occupational Therapy· Health Professions
machine prediction:candidate · noneconsensus · none
3
citations
venueno affno abstractunlabeled
Teaching social skills to people with autism
Asha Asher
2014· article· en· Canadian Journal of Occupational Therapy· Neuroscience
machine prediction:candidate · noneconsensus · none
3
citations
venueaboutno affunlabeled
Increasing Access to Evidence
Marcia Finlayson
2008· editorial· en· Canadian Journal of Occupational Therapy· Health Professions
machine prediction:candidate · metaresearch+open_scienceconsensus · none
3
citations
venueno affunlabeled
From the Editor: Implications of the Impact Factor
Fern Swedlove
2005· editorial· en· Canadian Journal of Occupational Therapy· Decision Sciences
machine prediction:candidate · metaresearch+bibliometricsconsensus · none
3
citations
affvenueunlabeled
Adding a Driving Task to AMPS: A Pilot Study
Dianna Robertson, Melissa A. Carswell
2011· article· en· Canadian Journal of Occupational Therapy· Health Professions
machine prediction:candidate · noneconsensus · none
3
citations

How this was built: Screen · Findings · About