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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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T-cell and B-cell Immunology
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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.

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The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

2,101 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.
2,101 works in the cohort · of 4,299,418page 1 of 43

Labels cover 2 of 2,101 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 2,101 of 2,101 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.

fundno affno abstractunlabeled
ICOS is critical for CD40-mediated antibody class switching
Alexander J. McAdam, Rebecca J. Greenwald, Michele A. Levin, Tatyana Chernova, Nelly Malenkovich, Vincent Ling +2 more
2001· article· en· Nature· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
644
citations
affunlabeled
Subspecialization of Cxcr5+ T Cells
Chang H. Kim, Lusijah Rott, Ian Clark‐Lewis, Daniel Campbell, Lijun Wu, Eugene C. Butcher
2001· article· en· The Journal of Experimental Medicine· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
619
citations
affunlabeled
IL-2, Regulatory T Cells, and Tolerance
Brad H. Nelson
2004· review· en· The Journal of Immunology· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
553
citations
fundno affno abstractunlabeled
Why must T cells be cross-reactive?
Andrew K. Sewell
2012· review· en· Nature reviews. Immunology· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
547
citations
afffundno abstractunlabeled
Expanding antigen-specific regulatory networks to treat autoimmunity
Xavier Clemente‐Casares, Jesús Blanco, Poornima Ambalavanan, Jun Yamanouchi, Santiswarup Singha, César Fandos +13 more
2016· article· en· Nature· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
504
citations
affunlabeled
Tissue-resident memory T cells populate the human brain
Joost Smolders, Kirstin M. Heutinck, Nina L. Fransen, Ester B. M. Remmerswaal, Pleun Hombrink, Ineke J. M. ten Berge +3 more
2018· article· en· Nature Communications· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
399
citations
afffundno abstractunlabeled
The origins of vertebrate adaptive immunity
Gary W. Litman, Jonathan P. Rast, Sebastian D. Fugmann
2010· review· en· Nature reviews. Immunology· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
379
citations

How this was built: Screen · Findings · About