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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.

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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 12 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.

afffundunlabeled
Modeling Ebola Virus Transmission Using Ferrets
Marc-Antoine de La Vega, Geoff Soule, Kaylie N. Tran, Kevin Tierney, Shihua He, Gary Wong +2 more
2018· article· en· mSphere· Medicine
machine prediction:candidate · noneconsensus · none
20
citations
affunlabeled
Care of the Child With Ebola Virus Disease*
Carl Eriksson, Timothy M. Uyeki, Mary A. King, Dana Braner, Robert K. Kanter, Niranjan Kissoon
2015· review· en· Pediatric Critical Care Medicine· Medicine
machine prediction:candidate · noneconsensus · none
20
citations
affno abstractunlabeled
Animal models for Lassa virus infection
Tsing-Lee Tang-Huau, Heinz Feldmann, Kyle Rosenke
2019· review· en· Current Opinion in Virology· Medicine
machine prediction:candidate · noneconsensus · none
20
citations
affunlabeled
Annual Incidence of Lassa Virus Infection in Southern Mali
David Safronetz, Nafomon Sogoba, Sory Ibrahim Diawara, Sidy Bane, Kyle Rosenke, Ousmane Maïga +7 more
2017· article· en· American Journal of Tropical Medicine and Hygiene· Medicine
machine prediction:candidate · noneconsensus · none
20
citations
affunlabeled
Quantification of Ebola virus replication kinetics in vitro
Laura E. Liao, Jonathan Carruthers, Sophie J. Smither, Simon A. Weller, E. Diane Williamson, Thomas R. Laws +9 more
2020· article· en· PLoS Computational Biology· Medicine
machine prediction:candidate · noneconsensus · none
19
citations
affno abstractunlabeled
The evolution of supportive care for Ebola virus disease
François Lamontagne, Christophe Clément, Richard Kojan, Mélanie Godin, Patricia Kabuni, Robert Fowler
2019· article· en· The Lancet· Medicine
machine prediction:candidate · noneconsensus · none
19
citations
affno abstractunlabeled
Polymorphism of Filovirus Glycoproteins
Viktor E. Volchkov, Valentina A. Volchkova, Olga Dolnik, Heinz Feldmann, Hans‐Dieter Klenk
2005· article· en· Advances in virus research· Medicine
machine prediction:candidate · noneconsensus · none
19
citations
affno abstractunlabeled
Animal models for viral haemorrhagic fever
D. Falzaran, Dennis A. Bente
2014· review· en· Clinical Microbiology and Infection· Medicine
machine prediction:candidate · noneconsensus · none
18
citations
affno abstractunlabeled
Essentials of filoviral load quantification
Lieselotte Cnops, Johan van Griensven, Anna N. Honko, Daniel G. Bausch, Armand Sprecher, Charles E. Hill +13 more
2016· review· en· The Lancet Infectious Diseases· Medicine
machine prediction:candidate · noneconsensus · none
18
citations

How this was built: Screen · Findings · About