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
Neuroblastoma Research and Treatments
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.

873 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.
873 works in the cohort · of 4,299,418page 12 of 18

Labels cover 2 of 873 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 873 of 873 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
OCT4A and the DNA damage response
David Murray, Razmik Mirzayans
2015· letter· en· Cell Cycle· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Selumetinib (Koselugo)
CADTH
2023· article· en· Canadian Journal of Health Technologies· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Preclinical study of a Bcl-2 inhibitor in neuroblastoma.
Assila Belounis, Anissa Addioui, Anne-Hélène Conan, Dominic- Vidaroun Thanvilay, Sonia Cournoyer, Carine Nyalendo +4 more
2012· article· en· Journal of Clinical Oncology· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Pediatric Cancers
Hans Krueger, David McLean, Dan Williams
2008· review· en· Progress in experimental tumor research· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Whole Central and Peripheral Nervous System Mice Dissection
Krystina Rhéaume, Zhiguo Chen, Yong Wang, Camille Plante, Dhanushka Hewa Bostanthirige, Maude Lévesque +3 more
2023· article· en· Journal of Visualized Experiments· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Pediatrics
James P. Willems, M Gjihaderi, Anna Olsson, M Lestrin, H. Zhong, Rong Wang +7 more
2010· article· en· Modern Pathology· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
1
citations
venueno affno abstractunlabeled
10.1016/s1879-8543(15)55971-5
2000· article· en· Time to knit· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
1
citations
aboutno affunlabeled
Dinutuximab (Unituxin)
Reimbursement Team
2021· article· en· Canadian Journal of Health Technologies· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
afffundunlabeled
Reply to Li and Colleagues
Christian P. Kratz, Dmitrii Smirnov, Robert J. Autry, Natalie Jäger, Sebastian M. Waszak, Anika Großhennig +7 more
2023· article· en· JNCI Journal of the National Cancer Institute· Medicine
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About