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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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Pressure Ulcer Prevention and Management
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.

714 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.
714 works in the cohort · of 4,299,418page 9 of 15

Labels cover 6 of 714 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 714 of 714 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 affunlabeled
A Method for Custom-Contoured Cushion Fabrication Based on Pressure Mapping for Wheelchair Users to Prevent Pressure Ulcers: Feasibility Quasi-Experimental Study
Alma De León-Hernández, Adriana Martínez‐Hernández, Isabel Bólivar-Tellería, Andrea Bosch-Sánchez, María Fernanda Cabrera-Padilla, Carlos Omar López‐López
2025· article· en· JMIR Rehabilitation and Assistive Technologies· Health Professions
machine prediction:candidate · noneconsensus · none
4
citations
venueno affunlabeled
10.51847/AOG7bQc
2000· article· en· Time to knit· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
3
citations
affno abstractunlabeled
Asepsis, antisepsis and skin preparation
David J. Humes, Dileep N. Lobo
2005· article· en· Surgery (Oxford)· Health Professions
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Decreasing Intraoperative Skin Damage in Prone-Position Surgeries
Barbara M. Bates‐Jensen, Jessica Crocker, Vicky T. Nguyen, L. Robertson, Deborah Nourmand, Emily Chirila +6 more
2024· article· en· Advances in Skin & Wound Care· Health Professions
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Demystifying skin tears, part 1
Kimberly LeBlanc, Dawn Christensen
2010· article· en· Nursing· Health Professions
machine prediction:candidate · noneconsensus · none
3
citations
affaboutunlabeled
Dermoscopic Evaluation of Skin Frailty
Kevin Woo, Will Mueller, Ali Etemad
2019· article· en· Journal of Wound Ostomy and Continence Nursing· Health Professions
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Demystifying skin tears, part 2
Kimberly LeBlanc, Dawn Christensen
2011· article· en· Nursing· Health Professions
machine prediction:candidate · noneconsensus · none
3
citations
affaboutunlabeled
Reapproximating a Skin Tear Flap
Samantha Holloway, Kimberly LeBlanc
2022· article· en· Advances in Skin & Wound Care· Health Professions
machine prediction:candidate · noneconsensus · none
3
citations

How this was built: Screen · Findings · About