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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.

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Immune Cell Function and Interaction
Retraction
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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 ·
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20002025
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Machine labels · sparse coverage
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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 69 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.

venueno affno abstractunlabeled
10.1016/b978-2-294-76306-9.50796-1
2000· book-chapter· en· Time to knit· Immunology and Microbiology
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affno abstractunlabeled
How, when, and why do lymphocytes die?
Andreas Strasser, Kim Newton, LA O'Reilly, Marc Pellegrini, L O'Connor, Hamsa Puthalakath +11 more
2000· article· en· Immunologist· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Studies on immune escape mechanism in cancer
Iryna Saranchova
2020· article· en· cIRcle (University of British Columbia)· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
0
citations
fundno affno abstractunlabeled
Les lymphocytes T mémoires... une question de survie
Marie‐Pierre Hardy
2004· dissertation· fr· Papyrus : Institutional Repository (Université de Montréal)· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
0
citations
fundno affno abstractunlabeled
Immunological Tolerance
2007· book· en· Methods in molecular biology· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
156-P
Alberto J. León, Victoriano J. Leon, Manuel Delgado, Ana Alejandra Cordero
2012· article· en· Human Immunology· Immunology and Microbiology
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Natural Killer Cells and Alzheimer’s Disease
Aurélie Le Page, Gilles Dupuis, Tamàs Fülöp
2018· book-chapter· en· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About