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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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Viral Infections and Outbreaks Research
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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
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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 16 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.

affunlabeled
Ebola Vaccine Trials
Godfrey B. Tangwa, Katharine Browne, Doris Schroeder
2017· book-chapter· en· SpringerBriefs in research and innovation governance· Medicine
machine prediction:candidate · noneconsensus · none
10
citations
fundno affno abstractunlabeled
Hemorrhagic Fever Viruses
María S. Salvato
2017· book· en· Methods in molecular biology· Medicine
machine prediction:candidate · noneconsensus · none
9
citations
affno abstractunlabeled
Diagnostic strategies for Ebola virus detection
Shuo Su, Gary Wong, Xiangguo Qiu, Yuhai Bi, Jiyong Zhou
2016· letter· en· The Lancet Infectious Diseases· Medicine
machine prediction:candidate · noneconsensus · none
9
citations
affno abstractunlabeled
Welcome message from the new editor
Gregory S. Zaric
2020· editorial· en· Health Care Management Science· Medicine
machine prediction:candidate · noneconsensus · none
8
citations
affno abstractunlabeled
Symposium on Marburg and Ebola viruses
Hans Dieter Klenk, Heinz Feldmann
2001· article· en· Virus Research· Medicine
machine prediction:candidate · noneconsensus · none
8
citations
affno abstractunlabeled
Drug assessment in the Ebola virus disease epidemic in west Africa
Yazdan Yazdanpanah, Peter Horby, Johan van Griensven, France Mentré, Vinh‐Kim Nguyen, Jean Marie Denis Malvy +4 more
2015· letter· en· The Lancet Infectious Diseases· Medicine
machine prediction:candidate · noneconsensus · none
8
citations
affunlabeled
Global Health Diplomacy Fingerprints on Human Security
Vijay Kumar Chattu, W. Andy Knight, KSrikanth Reddy, Obijiofor Aginam
2019· article· en· International Journal of Preventive Medicine· Medicine
machine prediction:candidate · noneconsensus · none
8
citations

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