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
JNCI Journal of the National Cancer Institute
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.

736 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.
736 works in the cohort · of 4,299,418page 10 of 15

Labels cover 4 of 736 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 736 of 736 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
Benefits and Harms of Detecting Clinically Occult Breast Cancer
Eitan Amir, Philippe L. Bédard, Alberto Ocaña, Boštjan Šeruga
2012· article· en· JNCI Journal of the National Cancer Institute· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
14
citations
affunlabeled
Cancer equity for those impacted by mass incarceration
Megha Ramaswamy, Christopher R. Manz, Fiona G. Kouyoumdjian, Noel Vest, Lisa B. Puglisi, Emily Wang +4 more
2023· article· en· JNCI Journal of the National Cancer Institute· Social Sciences
machine prediction:candidate · noneconsensus · none
13
citations
afffundno abstractunlabeled
Re: The Wnt Signaling Pathway in Non-Small Cell Lung Cancer
Roland Hubaux, Kelsie L. Thu, Wan L. Lam
2014· letter· en· JNCI Journal of the National Cancer Institute· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
12
citations
affno abstractunlabeled
Genetic Heterogeneity of 8q24 Region in Susceptibility to Cancer
Dominika Wokołorczyk, Jan Lubiński, Steven A. Narod, Cezary Cybulski
2009· letter· en· JNCI Journal of the National Cancer Institute· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
10
citations
afffundunlabeled
A polygenic two-hit hypothesis for prostate cancer
Kathleen E. Houlahan, Julie Livingstone, Natalie S. Fox, Natalie J. Kurganovs, Helen He Zhu, Jocelyn Sietsma Penington +14 more
2023· article· en· JNCI Journal of the National Cancer Institute· Medicine
machine prediction:candidate · noneconsensus · none
10
citations
afffundunlabeled
When is prostate cancer really cancer?
Matthew R. Cooperberg, Avery Braun, Alejandro Berlín, Adam S. Kibel, Scott E. Eggener, Gladell P. Paner +21 more
2024· article· en· JNCI Journal of the National Cancer Institute· Medicine
machine prediction:candidate · noneconsensus · none
10
citations
aboutno affunlabeled
Increase of early-onset colorectal cancer: a cohort effect
Laura Downham, Mathieu Laversanne, Sandra Pérdomo, Adalberto Miranda‐Filho, Freddie Bray, Paul Brennan
2025· article· en· JNCI Journal of the National Cancer Institute· Medicine
machine prediction:candidate · noneconsensus · none
10
citations

How this was built: Screen · Findings · About