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
Glioma Diagnosis and Treatment
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.

4,234 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.
4,234 works in the cohort · of 4,299,418page 42 of 85

Labels cover 8 of 4,234 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 4,234 of 4,234 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
Stem cells and models of astrocytomas
Deepak Kamnasaran
2009· review· en· Clinical and investigative medicine· Medicine
machine prediction:candidate · noneconsensus · none
5
citations
afffundunlabeled
The functional genomic circuitry of human glioblastoma stem cells
Graham MacLeod, Danielle Bozek, Nishani Rajakulendran, Vernon Monteiro, Moloud Ahmadi, Zachary Steinhart +10 more
2018· preprint· en· bioRxiv (Cold Spring Harbor Laboratory)· Medicine
machine prediction:candidate · noneconsensus · none
5
citations
affunlabeled
Pakistan National Guidelines for Pediatric High-Grade Gliomas
Farrah Bashir, Bilal Mazhar Qureshi, Khurram Minhas, Uri Tabori, Éric Bouffet, Cynthia Hawkins +2 more
2023· article· en· Pakistan Journal of Medical Sciences· Medicine
machine prediction:candidate · noneconsensus · none
5
citations
affno abstractunlabeled
NEUROSURGICAL SUITE OF THE FUTURE III
Garnette R. Sutherland, Taro Kaibara
2001· article· en· Neuroimaging Clinics of North America· Medicine
machine prediction:candidate · noneconsensus · none
4
citations
affunlabeled
Low-grade gliomas
C. Niël
2008· book-chapter· en· Cambridge University Press eBooks· Medicine
machine prediction:candidate · noneconsensus · none
4
citations
affvenueaboutunlabeled
Population Based Analysis Ependymoma Patients in Alberta from 1975 to 2007
Gloria B. Roldán Urgoiti, Amitabh D. Singh, Roger Y. Tsang, Robert Nordal, Jennifer A. Chan, Yves Starreveld +4 more
2014· article· en· Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques· Medicine
machine prediction:candidate · noneconsensus · none
4
citations
affvenueunlabeled
Long-Term Survival of a Patient with Glioblastoma
Adrian G. Sacher, Robert L. Wollmann, U. Kalokhe, David G. Muñoz, Marie‐Christine Guiot, R. Loch Macdonald
2010· article· fr· Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques· Medicine
machine prediction:candidate · noneconsensus · none
4
citations

How this was built: Screen · Findings · About