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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
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.

3,341 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.
3,341 works in the cohort · of 4,299,418page 42 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.

affaboutunlabeled
Timely Case-Fatality Risk Estimation
Zihang Lu, Zheng Chen
2015· letter· en· Epidemiology· Mathematics
machine prediction:candidate · metaresearchconsensus · none
2
citations
affno abstractunlabeled
Models with Heterogeneous Mixing
Fred Brauer, Carlos Castillo‐Chávez, Zhilan Feng
2019· book-chapter· en· Texts in applied mathematics· Mathematics
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Preface
Fred Brauer
2010· article· en· Journal of Biological Dynamics· Mathematics
machine prediction:candidate · noneconsensus · none
2
citations
affaboutunlabeled
COVID-19 Vaccination and Healthcare Demand
Matthew Betti, Amira Hassan Abouleish, Victoria Spofford, Cory Peddigrew, Alan Diener, Jane M. Heffernan
2021· preprint· en· medRxiv· Mathematics
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Political courage needed to prevent the next pandemic
Helen Clark, Mauricio Cárdenas, Mark Dybul, Michel D. Kazatchkine, Joanne Liu, Henry E. Mark +9 more
2024· article· en· The Lancet· Mathematics
machine prediction:candidate · noneconsensus · none
2
citations
aboutno affunlabeled
India’s covid catastrophe
Ajay Saini, Nancy Nancy, Andrew Malekoff
2021· article· en· Social Work With Groups· Mathematics
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Urban Public Health: Is There a Pyramid?
Meirong Su, Bin Chen, Zhifeng Yang, Yanpeng Cai, Jiao Wang
2013· article· en· International Journal of Environmental Research and Public Health· Mathematics
machine prediction:candidate · noneconsensus · none
2
citations

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