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
Cerebral Venous Sinus Thrombosis
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.

744 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.
744 works in the cohort · of 4,299,418page 8 of 15

Labels cover 1 of 744 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 744 of 744 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.

affunlabeled
Optic nerve sheath meningocele
Musleh Algarni, Pejman Maralani, Arun Sundaram
2018· article· en· International Medical Case Reports Journal· Medicine
machine prediction:candidate · noneconsensus · none
4
citations
venueno affno abstractunlabeled
Cavernous Sinus Thrombosis Secondary to Sinusitis
Mohamad Ammar Amran -, Din Suhaimi Sidek, Mohamad Hamzah, Jafri Malin Abdullah, Ahmad Sukari Halim, Mohd Radzi Johari +2 more
2002· article· en· The Journal of Otolaryngology· Medicine
machine prediction:candidate · noneconsensus · none
4
citations
affvenueunlabeled
Cerebral Venous Thrombosis Presenting as Subacute Parkinsonism
Amal Al-Hashmi, Oliver Nguyen, Rafael Glikstein, Hyman M. Schipper
2010· article· en· Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques· Medicine
machine prediction:candidate · noneconsensus · none
4
citations
affunlabeled
Lord Nelson’s (1758–1805) left eye
William Pryse‐Phillips
2017· article· en· Journal of Medical Biography· Medicine
machine prediction:candidate · noneconsensus · none
3
citations
venueno affunlabeled
Asymmetry of cerebral venous outflow
Liubov Savelyeva, Yu. A. Stankevich, O. B. Bogomyakova, А. А. Тулупов
2015· article· en· Experimental & clinical cardiology/Experimental and clinical cardiology· Medicine
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Pericytes in the optic nerve head
Susannah Waxman, Deborah Villafranca‐Baughman, Julie A. Phillippi, Tatjana Jakobs, Luis Alarcón-Martínez, Adriana Di Polo +1 more
2025· review· en· Progress in Retinal and Eye Research· Medicine
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Cerebral venous sinus thrombosis
Indeep S. Sekhon, Mypinder S. Sekhon
2015· book-chapter· en· Cambridge University Press eBooks· Medicine
machine prediction:candidate · noneconsensus · none
3
citations

How this was built: Screen · Findings · About