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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
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.

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 11 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.

affunlabeled
Characterisation of ISAV proteins from cell culture
Simon Griffiths, M Cook, Bradford P. Mallory, Rachael J. Ritchie
2001· article· en· Diseases of Aquatic Organisms· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
21
citations
affunlabeled
Modulating Neutrophil Apoptosis
John C. Marshall, Zeenat Malam, Songhui Jia
2006· article· en· Novartis Foundation symposium· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
19
citations
afffundunlabeled
Role of endothelial cells in graft-versus-host disease
Lotus Neidemire-Colley, Jérémy Robert, Antoine Ackaoui, Adrienne M. Dorrance, Martin Guimond, Parvathi Ranganathan
2022· review· en· Frontiers in Immunology· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
18
citations
affunlabeled
Neutrophils in Inflammatory Bone Diseases
Carmelo Carmona‐Rivera, Mariana J. Kaplan, Liam J. O’Neil
2024· review· en· Current Osteoporosis Reports· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
18
citations
venueno affunlabeled
Superoxide generation and tyrosine kinase
Shuying Yang, Martha Hardaway, William L. Ries, L. Lyndon Key
2000· article· en· Biochemistry and Cell Biology· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
18
citations
affunlabeled
Cerebellar atrophy in Schimke‐immuno‐osseous dysplasia
Thomas Lücke, Johanna M. Clewing, Cornelius F. Boerkoel, Hans Hartmann, Anibh M. Das, Michael Knauth +2 more
2007· article· en· American Journal of Medical Genetics Part A· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
18
citations
affunlabeled
The role of cathelicidins in neutrophil biology
Grace Yoon, Rodrigo Puentes, Jacquelyn Tran, Anmol Multani, Eduardo R. Cobo
2024· review· en· Journal of Leukocyte Biology· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
18
citations

How this was built: Screen · Findings · About