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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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COVID-19 epidemiological studies
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Abstract
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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.

3,341 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.
3,341 works in the cohort · of 4,299,418page 39 of 67

Labels cover 12 of 3,341 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 3,341 of 3,341 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
Integrated Science of Global Epidemics 2050
Nima Rezaei, Amene Saghazadeh, Abdelilah Jraifi, Alessandro Siani, Ana Maria Perez Arredondo, Anyebe Bernard Onoja +58 more
2023· book-chapter· en· Integrated science· Mathematics
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Exploring the Spread of Zika
Oluwakemi Ola, Olha Buchel, Kamran Sedig
2016· article· en· International Journal of Disease Control and Containment for Sustainability· Mathematics
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Improving outbreak forecasts through model augmentation
Graham Casey Gibson, Spencer J. Fox, Emily Javan, Susan E. Ptak, Oluwasegun M. Ibrahim, Michael Lachmann +1 more
2025· article· en· Proceedings of the National Academy of Sciences· Mathematics
machine prediction:candidate · metaresearchconsensus · none
3
citations
afffundno abstractunlabeled
COVID-19 boosters versus primary series: update to a living review
Nana Wu, Keven Joyal‐Desmarais, Ariany Marques Vieira, Comfort Sanuade, Mohit Jagwani, Laurence Paquet +4 more
2023· review· en· The Lancet Respiratory Medicine· Mathematics
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Global Stability in Multigroup Epidemic Models
Hongbin Guo, Michael Y. Li, Zhisheng Shuai
2009· book-chapter· en· Series in contemporary applied mathematics· Mathematics
machine prediction:candidate · noneconsensus · none
3
citations
afffundno abstractunlabeled
SARS-CoV-2 transmission in university classes
William E. Ruth, Richard Lockhart
2022· article· en· Network Modeling Analysis in Health Informatics and Bioinformatics· Mathematics
machine prediction:candidate · noneconsensus · none
3
citations

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