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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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Neutrophil, Myeloperoxidase and Oxidative Mechanisms
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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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aboutaboutness

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

1,048 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.
1,048 works in the cohort · of 4,299,418page 14 of 21

Labels cover 0 of 1,048 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 1,048 of 1,048 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 affunlabeled
Preliminary study on chronic granulomatous disease in Sri Lanka
Shalinda Jude Arjuna Fernando, Mifra Faiz, Shiroma Handunnetti, Aruna Dharshan De Silva, W.M.D.K. Dasanayake, G Wickramasinghe +2 more
2018· article· en· Allergy Asthma and Clinical Immunology· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
8
citations
afffundunlabeled
IgA Potentiates NETosis in Response to Viral Infection
Hannah D. Stacey, Diana Golubeva, Alyssa Posca, Jann C. Ang, Kyle E. Novakowski, Muhammad Atif Zahoor +5 more
2021· preprint· en· bioRxiv (Cold Spring Harbor Laboratory)· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
8
citations
affno abstractunlabeled
Neutrophils and cancer: guilt by association
Craig N. Jenne, Paul Kubes
2016· review· en· Nature Reviews Gastroenterology & Hepatology· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
8
citations
affunlabeled
Infections fongiques et granulomatose septique chronique
Anne E. Desjardins, Hélène Coignard-Biehler, Nizar Mahlaoui, Pierre Frange, Marie‐Elisabeth Bougnoux, Stéphane Blanche +3 more
2012· review· fr· médecine/sciences· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
7
citations
affunlabeled
Signalling in Neutrophils: A Retro Look
Paul H. Naccache
2013· article· en· ISRN Physiology· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
7
citations
affunlabeled
Can neutrophils be manipulated in vivo?
M. D. Morgan, Lorraine Harper, Xiaomei Lü, Gerard B. Nash, Julie M. Williams, C. O. S. Savage
2004· review· en· Lara D. Veeken· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
6
citations

How this was built: Screen · Findings · About