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
Supportive Care in Cancer
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.

1,101 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.
1,101 works in the cohort · of 4,299,418page 2 of 23

Labels cover 1 of 1,101 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 1,101 of 1,101 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.

affno abstractunlabeled
Assessing cognitive function in cancer patients
Janette L. Vardy, Qilong Yi, Alison Park, Paul Maruff, Lynne I. Wagner, Ian F. Tannock
2006· article· en· Supportive Care in Cancer· Medicine
machine prediction:candidate · noneconsensus · none
133
citations
affno abstractunlabeled
Supportive care in cancer—a MASCC perspective
Ian Olver, D. Keefe, Jørn Herrstedt, David Warr, Fausto Roila, Carla Ripamonti
2020· review· en· Supportive Care in Cancer· Medicine
machine prediction:candidate · noneconsensus · none
117
citations
affno abstractunlabeled
Determinants of quality of life in patients with advanced cancer
Camilla Zimmermann, Debika Burman, Nadia Swami, Monika K. Krzyzanowska, Natasha B. Leighl, Malcolm J. Moore +2 more
2010· article· en· Supportive Care in Cancer· Medicine
machine prediction:candidate · noneconsensus · none
105
citations
afffundaboutunlabeled
Experiences of adult cancer survivors in transitions
Margaret I. Fitch, S. Zomer, Gina Lockwood, C. Louzado, Raquel Shaw Moxam, Rami Rahal +1 more
2018· article· en· Supportive Care in Cancer· Medicine
machine prediction:candidate · noneconsensus · none
99
citations

How this was built: Screen · Findings · About