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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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The Lancet Infectious Diseases
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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
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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.

478 results · 1 filter active ·
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20012025
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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.
478 works in the cohort · of 4,299,418page 8 of 10

Labels cover 3 of 478 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 478 of 478 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.

fundno affno abstractunlabeled
Harmonisation preserves research resources
Malte Kohns Vasconcelos, Cristina Epalza, Hanna Renk, Alfredo Tagarro, Julia Bielicki
2020· article· en· The Lancet Infectious Diseases· Computer Science
machine prediction:candidate · metaresearchconsensus · metaresearch
11
citations
affno abstractunlabeled
Staphylococcal scalded skin syndrome in a child
Qinwei Qian, Jinyue Shen, Angela Vinturache, Guodong Ding
2023· article· en· The Lancet Infectious Diseases· Medicine
machine prediction:candidate · noneconsensus · none
10
citations
affno abstractunlabeled
Infection in breast implants
Donald C. Vinh, John M. Embil
2005· letter· en· The Lancet Infectious Diseases· Medicine
machine prediction:candidate · noneconsensus · none
10
citations
fundaboutno affunlabeled
The uncertainty of tuberculosis diagnosis
Sumona Datta, Carlton A. Evans
2020· letter· en· The Lancet Infectious Diseases· 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
aboutno affno abstractunlabeled
A vaccine against meningitis in Africa
The Lancet Infectious Diseases
2010· editorial· en· The Lancet Infectious Diseases· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
9
citations
affno abstractunlabeled
Curbing the 2019 Samoa measles outbreak
David Champredon, Affan Shoukat, Burton H. Singer, Alison P. Galvani, Seyed M. Moghadas
2020· letter· en· The Lancet Infectious Diseases· Mathematics
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
affno abstractunlabeled
Sleeping sickness: time for dreaming
Jacques Pépin
2022· letter· en· The Lancet Infectious Diseases· Medicine
machine prediction:candidate · noneconsensus · none
7
citations
affaboutno abstractunlabeled
Underestimate of annual malaria imports to Canada
Andrea K. Boggild, Anne McCarthy, Michael Libman, David O. Freedman, Kevin C. Kain
2017· letter· en· The Lancet Infectious Diseases· Medicine
machine prediction:candidate · noneconsensus · none
7
citations
aboutno affunlabeled
Viral meningitis in the UK: time to speed up
Matthijs C. Brouwer, Diederik van de Beek
2018· letter· en· The Lancet Infectious Diseases· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
7
citations
affno abstractunlabeled
Yersinia pestis and the three plague pandemics
Monica H. Green, Lori Jones, Lester K. Little, Uli Schamiloglu, George D. Sussman
2014· letter· en· The Lancet Infectious Diseases· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
6
citations
affno abstractunlabeled
Ebola: no time to waste
David N. Fisman, Ashleigh R. Tuite
2014· letter· en· The Lancet Infectious Diseases· Medicine
machine prediction:candidate · noneconsensus · none
6
citations
affno abstractunlabeled
GAIN Act legislation: is it enough?
Glenn Tillotson
2012· article· en· The Lancet Infectious Diseases· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
6
citations

How this was built: Screen · Findings · About