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
Immune Cell Function and Interaction
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.

3,477 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.
3,477 works in the cohort · of 4,299,418page 33 of 70

Labels cover 5 of 3,477 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 3,477 of 3,477 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.

aboutno affunlabeled
Dendritic cells star in Vancouver
Eynav Klechevsky, Hiroki Kato, Anne‐Marit Sponaas
2005· article· en· The Journal of Experimental Medicine· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
20
citations
afffundunlabeled
Imaging natural killer T cells in action
Connie H. Y. Wong, Paul Kubes
2013· review· en· Immunology and Cell Biology· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
20
citations
fundno affno abstractunlabeled
How tumors might withstand γδ T-cell attack
Aude-Hélène Capietto, Ludovic Martinet, Jean‐Jacques Fournié
2011· review· en· Cellular and Molecular Life Sciences· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
20
citations
affunlabeled
Natural Killer Cell Presence in Antibody-Mediated Rejection
Matthias Diebold, Evan A. Farkash, Jenna Barnes, Heinz Regele, Nicolas Kozakowski, Martina Schatzl +7 more
2024· article· en· Transplant International· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
20
citations
affunlabeled
Cytokine release in sepsis
Ian Burkovskiy, Joel Sardinha, Juan Zhou, Christian H.K. Lehmann
2013· article· en· Advances in Bioscience and Biotechnology· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
20
citations

How this was built: Screen · Findings · About