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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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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
venuejournal
aboutaboutness

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 48 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.

affunlabeled
Honoring the life and legacy of Fred Brauer
Christopher Kribs, P. van den Driessche
2023· article· en· Journal of Biological Dynamics· Mathematics
machine prediction:candidate · noneconsensus · none
1
citations
fundno affno abstractunlabeled
Effects of behavioral intervention components to increase COVID-19 testing for African American/Black and Latine frontline essential workers not up-to-date on COVID-19 vaccination: Results of an optimization randomized controlled trial
Marya Gwadz, Siyu Heng, Charles M. Cleland, Jillian C Strayhorn, Jennifer A. Robinson, Fernanda Gonzalez Blanco Serrano +3 more
2025· article· en· Journal of Behavioral Medicine· Mathematics
machine prediction:candidate · noneconsensus · none
1
citations
fundno affunlabeled
A Spatial SEIR Model for COVID-19 in South Africa
Inger Fabris‐Rotelli, Jenny Holloway, Zaid Kimmie, Sally Archibald, Pravesh Debba, Raeesa Docrat +7 more
2021· preprint· en· Preprints.org· Mathematics
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About