MétaCan
Menu
Cohort builder

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.

Search term
Author
Year range
Sort
Language
Type
Field
Venue
npj Digital Medicine
Topic
Retraction
Abstract
Evidence source
Study design
Label agreement
Label status

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.

214 results · 1 filter active ·
Results by year
20182025
Publication date
Categories
Machine labels · sparse coverage
Evidence
Language
Type
Citations
An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
214 works in the cohort · of 4,299,418page 1 of 5

Labels cover 0 of 214 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 214 of 214 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

afffundunlabeled
The use of photoplethysmography for assessing hypertension
Mohamed Elgendi, R. Fletcher, Yongbo Liang, Newton Howard, Nigel H. Lovell, Derek Abbott +2 more
2019· review· en· npj Digital Medicine· Engineering
distilled prediction:candidate · metaepi_narrowconsensus · none
598
citations
fundno affunlabeled
U-Sleep: resilient high-frequency sleep staging
Mathias Perslev, Sune Darkner, Lykke Kempfner, Miki Nikolic, Poul Jennum, Christian Igel
2021· article· en· npj Digital Medicine· Neuroscience
distilled prediction:candidate · noneconsensus · none
332
citations
fundno affunlabeled
Real-world heart rate norms in the Health eHeart study
Robert Avram, Geoffrey H. Tison, Kirstin Aschbacher, Peter Kuhar, Eric Vittinghoff, Michael Butzner +5 more
2019· article· en· npj Digital Medicine· Medicine
distilled prediction:candidate · noneconsensus · none
205
citations
affunlabeled
Computer vision in surgery: from potential to clinical value
Pietro Mascagni, Deepak Alapatt, Luca Sestini, Maria S. Altieri, Amin Madani, Yusuke Watanabe +7 more
2022· review· en· npj Digital Medicine· Medicine
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · none
198
citations
afffundunlabeled
Lab-on-chip technology for chronic disease diagnosis
Jiandong Wu, Meili Dong, Claudio Rigatto, Yong Liu, Francis Lin
2018· review· en· npj Digital Medicine· Engineering
distilled prediction:candidate · metaepi_narrowconsensus · none
167
citations
afffundunlabeled
Digital public health surveillance: a systematic scoping review
Zahra Shakeri Hossein Abad, Adrienne Kline, Madeena Sultana, Mohammad Noaeen, Elvira Nurmambetova, Filipe R. Lucini +2 more
2021· article· en· npj Digital Medicine· Medicine
distilled prediction:candidate · metaresearch+metaepi_narrowconsensus · none
96
citations
affunlabeled
A Delphi consensus statement for digital surgery
Kyle Lam, Michael D. Abràmoff, José M. Balibrea, Steven M. Bishop, R Brady, Rachael A. Callcut +34 more
2022· article· en· npj Digital Medicine· Social Sciences
distilled prediction:candidate · noneconsensus · none
84
citations

How this was built: Screen · Findings · About