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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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Immune responses and vaccinations
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
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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.

465 results · 1 filter active ·
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20002025
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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.
465 works in the cohort · of 4,299,418page 2 of 10

Labels cover 3 of 465 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 465 of 465 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.

afffundno abstractunlabeled
Immunosenescence and COVID-19
Jacek M. Witkowski, Tamàs Fülöp, Ewa Bryl
2022· review· en· Mechanisms of Ageing and Development· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
72
citations
afffundunlabeled
CD36 deficiency attenuates experimental mycobacterial infection
Michael Hawkes, Xiaoming Li, Maryanne Crockett, Angelina Diassiti, Constance A. M. Finney, Gundula Min‐Oo +3 more
2010· article· en· BMC Infectious Diseases· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
67
citations
fundno affno abstractunlabeled
Focus on fungi
Iliyan D. Iliev, Gordon D. Brown, Petra Bächer, Sarah L. Gaffen, Joseph Heitman, Bruce S. Klein +1 more
2024· article· en· Cell· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
62
citations
afffundunlabeled
The microbiome and immune memory formation
Kathy D. McCoy, Regula Burkhard, Markus B. Geuking
2019· review· en· Immunology and Cell Biology· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
54
citations
affno abstractunlabeled
Evolution and Strain Variation in BCG
Abdallah M. Abdallah, Marcel A. Behr
2017· review· en· Advances in experimental medicine and biology· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
52
citations
affno abstractunlabeled
Chapter 2: Transmission and pathogenesis of tuberculosis
Richard Long, Maziar Divangahi, Kevin Schwartzman
2022· article· en· Canadian Journal of Respiratory Critical Care and Sleep Medicine· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
48
citations

How this was built: Screen · Findings · About