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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.

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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 Digital Contact Tracing
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
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.

505 results · 1 filter active ·
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20022025
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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.
505 works in the cohort · of 4,299,418page 5 of 11

Labels cover 3 of 505 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 505 of 505 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

fundno affunlabeled
Listening to Bluetooth Beacons for Epidemic Risk Mitigation
Gilles Barthe, Roberta De Viti, Peter Druschel, Deepak Garg, Manuel Gomez-Rodriguez, Pierfrancesco Ingo +5 more
2021· preprint· en· medRxiv· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
4
citations
affunlabeled
COVID-19 and the Data Governance Gap
Lisa M. Austin
2023· article· en· Annual Review of Law and Social Science· Computer Science
distilled prediction:candidate · noneconsensus · none
3
citations
venueno affunlabeled
The Adoption of a COVID-19 Contact-Tracing App: Cluster Analysis
Tessi M Hengst, Lilian Lechner, Laura Nynke van der Laan, Arjen Hommersom, Daan Dohmen, Lotty Hooft +3 more
2023· article· en· JMIR Formative Research· Computer Science
distilled prediction:candidate · noneconsensus · none
3
citations
aboutno affunlabeled
COVID-19 Vaccine Certificates: Key Considerations for the Ontario Context
Gabrielle M. Katz, Karen Born, Melanie de Wit, Kwame McKenzie, Colleen M. Flood, Cameron Bell +24 more
2021· report· en· Computer Science
distilled prediction:candidate · metaresearch+metaepi_narrow+scholarly_communication+insufficient_payloadconsensus · none
2
citations
affno abstractunlabeled
AI for Covid-19: Conduits for Public Health Surveillance
Chandana Unnithan, Jenny Hardy, N. Lilley
2020· book-chapter· en· Lecture notes on data engineering and communications technologies· Computer Science
distilled prediction:candidate · metaepi_narrow+open_scienceconsensus · none
2
citations
venueno affunlabeled
Editorial Responsibilities
2016· article· en· Evidence Based Library and Information Practice· Computer Science
distilled prediction:candidate · scholarly_communicationconsensus · none
2
citations
affunlabeled
A content review of COVID-19-related apps used in Vietnam
Linh Tran, Federica Cucé, Nguyen Thanh An, Kadek Agus Surya Dila, Nguyen Hai Nam, Doan Le Nguyet Cat +4 more
2025· review· en· The Journal of Infection in Developing Countries· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
2
citations
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How this was built: Screen · Findings · About