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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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Mental Health and Patient Involvement
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.

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.

2,997 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.
2,997 works in the cohort · of 4,299,418page 56 of 60

Labels cover 48 of 2,997 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 2,997 of 2,997 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.

affvenueunlabeled
INTRODUCTION TO SPECIAL ISSUE
Shanne McCaffrey
2020· article· en· International Journal of Child Youth and Family Studies· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Editorial: Innovative practice
Jo Moriarty
2016· editorial· en· Dementia· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
The owners have a right to be heard
Hugh MacLeod
2015· review· en· Healthcare Management Forum· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affvenueaboutunlabeled
Informal peer support for rural doctors
Tandi Wilkinson, Rola Ajjawi, Shireen Mansouri
2024· article· en· Canadian Journal of Rural Medicine· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Health Care
Maureen Markle‐Reid, Jenny Ploeg, Ruta Valaitis, Rebecca Ganann, Carrie McAiney, Jennifer Salerno
2018· article· en· Innovation in Aging· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Users: Service Users and the Drug User Movement
Alex Mold, Virgínia Berridge
2010· book-chapter· en· Palgrave Macmillan UK eBooks· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Belgique
2020· article· fr· ORBi (University of Liège)· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Editorial: Co-design of rehabilitation programming
Janelle Unger, Dalton L. Wolfe, John Bourke, James Middleton
2025· editorial· en· Frontiers in Rehabilitation Sciences· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Teaching recovery principles with concept map care planning
Carol M. Hipfner, Lacey Bennett, Denise Gettle, Catherine New, Susan Howell
2017· article· en· The Journal of Mental Health Training Education and Practice· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About