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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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Bacterial Infections and Vaccines
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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
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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.

1,642 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.
1,642 works in the cohort · of 4,299,418page 19 of 33

Labels cover 6 of 1,642 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 1,642 of 1,642 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
Structural basis for neutralizing antibody binding to pertussis toxin
Jory A. Goldsmith, Annalee W. Nguyen, Rebecca E Wilen, Wassana Wijagkanalan, Jason S. McLellan, Jennifer A. Maynard
2025· article· en· Proceedings of the National Academy of Sciences· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
7
citations
affvenueno abstractunlabeled
Enhanced Surveillance for Adverse Events Following Immunization
Samara David, Colleen Hemsley, Paula E. Pasquali, Bryce Larke, Jane A. Buxton, Lee Y. Lior
2006· article· en· Canadian Journal of Public Health· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
7
citations
aboutno affunlabeled
Viral meningitis in the UK: time to speed up
Matthijs C. Brouwer, Diederik van de Beek
2018· letter· en· The Lancet Infectious Diseases· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
7
citations
aboutno affunlabeled
Summary
David P. Greenberg, J. Jaime
2005· review· en· The Pediatric Infectious Disease Journal· Immunology and Microbiology
machine prediction:candidate · insufficient_payloadconsensus · none
6
citations
affaboutunlabeled
Protecting infants from pertussis.
Meghan Gilley, Ran D. Goldman
2014· article· en· PubMed· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
6
citations
affunlabeled
ELISA
Joyce S. Plested, Philip A. Coull, M A Gidney
2003· review· it· Humana Press eBooks· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
6
citations
affunlabeled
T-Cell Responses Against Meningococcal Antigens
Lisbeth Meyer Næss, Fredrik Oftung, Audun Aase, Terje E. Michaelsen, Andrew J. Pollard
2003· article· en· Humana Press eBooks· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
6
citations
affno abstractunlabeled
Is Bordetella pertussis co-infecting SARS-CoV-2 patients?
Samuele Renzi, Massimo Clementi, Sara Racca, Milena Mucci, Paolo Beccaria, Giovanni Borghi +2 more
2020· letter· en· Brazilian Journal of Anesthesiology (English Edition)· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
6
citations

How this was built: Screen · Findings · About