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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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Nature reviews. 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.

109 results · 1 filter active ·
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20012025
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Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
109 works in the cohort · of 4,299,418page 2 of 3

Labels cover 0 of 109 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 109 of 109 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
The therapeutic age of the neonatal Fc receptor
Michał Pyzik, Lisa K. Kozicky, Amit Gandhi, Richard S. Blumberg
2023· review· en· Nature reviews. Immunology· Medicine
machine prediction:candidate · noneconsensus · none
263
citations
afffundno abstractunlabeled
Harnessing the beneficial heterologous effects of vaccination
Helen S. Goodridge, Sohail Ahmed, Nigel Curtis, Tobias R. Kollmann, Ofer Levy, Mihai G. Netea +3 more
2016· review· en· Nature reviews. Immunology· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
256
citations
affno abstractunlabeled
The immunology of type 1 diabetes
Kevan C. Herold, Thomas Delong, Ana Luisa Perdigoto, Noah Biru, Todd M. Brusko, Lucy S. K. Walker
2024· review· en· Nature reviews. Immunology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
190
citations
afffundno abstractunlabeled
Diversity and dynamism of IgA−microbiota interactions
Kelsey E. Huus, Charisse Petersen, B. Brett Finlay
2021· review· en· Nature reviews. Immunology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
187
citations
afffundno abstractunlabeled
Determining γδ versus αβ T cell development
Maria Ciofani, Juan Carlos Zúñiga‐Pflücker
2010· review· en· Nature reviews. Immunology· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
159
citations
affno abstractunlabeled
The immunobiology of prion diseases
Adriano Aguzzi, Mario Nuvolone, Caihong Zhu
2013· review· en· Nature reviews. Immunology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
150
citations
affno abstractunlabeled
Immunobiology of Ebola and Lassa virus infections
Joseph Prescott, Andrea Marzi, David Safronetz, Shelly J. Robertson, Heinz Feldmann, Sonja M. Best
2017· review· en· Nature reviews. Immunology· Medicine
machine prediction:candidate · noneconsensus · none
138
citations
affno abstractunlabeled
Smallpox: anything to declare?
Geoffrey L. Smith, Grant McFadden
2002· review· en· Nature reviews. Immunology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
123
citations
affno abstractunlabeled
Modelling vaccination strategies for COVID-19
Caroline E. Wagner, Chadi M. Saad-Roy, Bryan T. Grenfell
2022· review· en· Nature reviews. Immunology· Medicine
machine prediction:candidate · noneconsensus · none
80
citations
affno abstractunlabeled
Knockout mice: a paradigm shift in modern immunology
Tak W. Mak, Josef Penninger, Pamela S. Ohashi
2001· review· en· Nature reviews. Immunology· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
78
citations
afffundno abstractunlabeled
The gut microbiota: challenging immunology
Navkiran Gill, B. Brett Finlay
2011· review· en· Nature reviews. Immunology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
46
citations
affno abstractunlabeled
Guidelines for T cell nomenclature
David Masopust, Amit Awasthi, Rémy Bosselut, David G. Brooks, Marcus Buggert, Kenji Chamoto +54 more
2025· article· en· Nature reviews. Immunology· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
37
citations
afffundno abstractunlabeled
Are tolerance and training required to end TB?
Maziar Divangahi
2018· review· en· Nature reviews. Immunology· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
13
citations

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