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
Topic
Sarcoidosis and Beryllium Toxicity Research
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.

522 results · 1 filter active ·
Results by year
20002025
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.
522 works in the cohort · of 4,299,418page 11 of 11

Labels cover 1 of 522 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 522 of 522 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
Sarcoidosis Presenting as Cranial Multinevritis
Sara Xavier Pires, Guiomar Pinheiro, Luísa Serpa Pinto, Teresa Sequeira, António Marinho
2021· article· en· Journal of Medical Cases· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
An Ominous Facial Droop
Anthony R. Sandre, Andrew Kapoor, Jian‐Qiang Lu, Ellias Horner, Amitabha Chakroborty, Ankur Goswami
2019· article· en· The American Journal of Medicine· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/s1634-6939(20)30581-0
2000· article· en· Time to knit· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affno abstractunlabeled
10.1016/s1876-1143(09)70005-9
2000· article· en· Time to knit· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
Future directions and research priorities
David H. Birnie, Rob Beanlands, Pablo B. Nery
2025· book-chapter· en· Elsevier eBooks· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Figure caption
2015· erratum· en· Canadian Medical Association Journal· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
Pediatric-onset adult type sarcoidosis: A case report
Yasemin Özsürekçi, Ali Bülent Cengiz, Ali Düzova, Erdal Sağ, Sibel Kadayıfcilar
2015· article· es· Archivos Argentinos de Pediatria· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
Isolated hepatic sarcoidosis: A case series
Xin Mu, Ziran Meng, Ashley Stueck, Magnus McLeod
2024· article· en· Canadian Liver Journal· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Online Case 29
C. Isabela S. Silva, Néstor L. Müller
2010· book-chapter· en· Elsevier eBooks· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affvenueno abstractunlabeled
Cardiac Sarcoidosis: More Than Meets the εye
Deepti Ranganathan, Sheldon M. Singh
2023· article· en· Canadian Journal of Cardiology· Medicine
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About