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
Childhood Cancer Survivors' Quality of Life
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.

3,427 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.
3,427 works in the cohort · of 4,299,418page 33 of 69

Labels cover 11 of 3,427 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 3,427 of 3,427 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.

afffundaboutunlabeled
Alberta Childhood Cancer Survivorship Research Program
Andrew Harper, Fiona Schulte, Gregory M.T. Guilcher, Tony H. Truong, Kathleen Reynolds, Maria Spavor +3 more
2023· article· en· Cancers· Medicine
machine prediction:candidate · noneconsensus · none
8
citations
afffundaboutunlabeled
Development of the Adolescent Cancer Suffering Scale
Christelle Khadra, Sylvie Le May, Isabelle Tremblay, France Dupuis, Chantal Cara, Geneviève Mercier +2 more
2015· article· en· Pain Research and Management· Medicine
machine prediction:candidate · noneconsensus · none
8
citations
aboutno affunlabeled
Polish High School Students’ Knowledge about Cancer
Monika Rucińska, Radosław Środa, Olga Wilk, Arian Saied, Jakub Miloszewski, Anna Sugajska +1 more
2021· article· en· International Journal of Environmental Research and Public Health· Medicine
machine prediction:candidate · noneconsensus · none
8
citations
affno abstractunlabeled
Avoiding fratricide: a T-ALL order
Mark Gower, Anastasia N. Tikhonova
2022· letter· en· Blood· Medicine
machine prediction:candidate · noneconsensus · none
8
citations
aboutno affunlabeled
Physical activity and pancreatic cancer risk
Claudio Pelucchi, Antonella Zucchetto, Alessandra Tavani, Luigino Dal Maso, Diego Serraino, Carlo La Vecchia
2010· letter· en· International Journal of Cancer· Medicine
machine prediction:candidate · noneconsensus · none
8
citations
afffundunlabeled
Differences and Trading
Nancy J. Moules, Andrew Estefan, Graham McCaffrey, Dianne M. Tapp, Douglas Strother
2016· article· en· Journal of Family Nursing· Medicine
machine prediction:candidate · noneconsensus · none
8
citations
affno abstractunlabeled
Nutrition in pediatric lung disease
Larry C. Lands
2007· review· en· Paediatric Respiratory Reviews· Medicine
machine prediction:candidate · noneconsensus · none
8
citations

How this was built: Screen · Findings · About