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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.

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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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Viral Infections and Outbreaks Research
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.

1,563 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.
1,563 works in the cohort · of 4,299,418page 20 of 32

Labels cover 3 of 1,563 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 1,563 of 1,563 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.

affno abstractunlabeled
Ebola vaccines: we have options
Darryl Falzarano
2015· letter· en· The Lancet Infectious Diseases· Medicine
machine prediction:candidate · noneconsensus · none
4
citations
affunlabeled
Under siege
Caroline Hyde-Price
2000· article· en· Nursing Standard· Medicine
machine prediction:candidate · noneconsensus · none
4
citations
aboutno affunlabeled
IANPHI and National Public Health Institutes
Ellen A. Spotts Whitney, Katherine Seib, Jessica S. Blackburn, Jacob Clemente, Courtenay M. Dusenbury, Jeffrey P. Koplan
2020· reference-entry· en· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
3
citations
affno abstractunlabeled
Ebola virus is unlikely to become endemic in West Africa
Armand Sprecher, Heinz Feldmann, Lisa E. Hensley, Stuart T. Nichol, Jim Strong, Michel Van Herp
2016· article· en· Nature Microbiology· Medicine
machine prediction:candidate · noneconsensus · none
3
citations
venueno affno abstractunlabeled
10.1016/j.yped.2016.07.037
2000· article· en· Time to knit· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
3
citations
venueno affunlabeled
Factors Associated with Knowledge, Attitudes, and Practices about Tuberculosis in Peruvians
Joan A. Loayza-Castro, Luisa Erika Milagros Vásquez-Romero, Verónica Eliana Rubín-de-Celis Massa, Cori Raquel Iturregui Paucar, Norka Rocío Guillén-Ponce, Sonia Indacochea-Cáceda +1 more
2023· article· en· International Journal of Statistics in Medical Research· Medicine
machine prediction:candidate · noneconsensus · none
3
citations
fundno affno abstractunlabeled
Vaccines for Emerging Viral Diseases
Adam DeZure, Barney S. Graham
2016· book-chapter· en· Elsevier eBooks· Medicine
machine prediction:candidate · noneconsensus · none
3
citations
fundno affunlabeled
The first year of the COVID-19 pandemic in the ECOWAS region.
Serge Somda, Aristide Romaric Bado, Abdourahmane Sow, Virgil Kuassi Lokossou, Sybil Ossei-A-Yeboah, Tomé Cá +3 more
2022· article· en· Ghana Medical Journal· Medicine
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Ebola Virus Disease
Jan F. Gogarten, Sébastien Calvignac‐Spencer, Fabian H. Leendertz
2017· other· en· The International Encyclopedia of Primatology· Medicine
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Hemorrhagic Fever Viruses as Biological Weapons
Allison Groseth, Steven J.M. Jones, Harvey Artsob, Heinz Feldmann
2006· book-chapter· en· Emerging infectious diseases of the 21st century· Medicine
machine prediction:candidate · noneconsensus · none
3
citations
fundno affunlabeled
Ebola vaccines – Where are we?
Sara Viksmoen Watle, Gunnstein Norheim, John-Arne Røttingen
2016· article· en· Human Vaccines & Immunotherapeutics· Medicine
machine prediction:candidate · noneconsensus · none
3
citations
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How this was built: Screen · Findings · About