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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 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
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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.

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 3 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.

aboutno affunlabeled
COVI White Paper.
Hannah Alsdurf, Yoshua Bengio, Tristan Deleu, Prateek Gupta, Daphne Ippolito, Richard D. Janda +17 more
2020· preprint· en· arXiv (Cornell University)· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
16
citations
affunlabeled
Viral Data
Agnieszka Leszczynski, Matthew Zook
2020· article· en· Big Data & Society· Computer Science
distilled prediction:candidate · open_scienceconsensus · open_science
15
citations
affunlabeled
Pandemic-Driven Technology Adoption
Pamela Robinson, Peter A. Johnson
2020· article· en· International Journal of E-Planning Research· Computer Science
distilled prediction:candidate · noneconsensus · none
14
citations
affunlabeled
COVID-19 Contact Tracing
Teresa Scassa
2020· article· en· International Journal of E-Planning Research· Computer Science
distilled prediction:candidate · metaresearchconsensus · none
14
citations
affunlabeled
Surveillance in the COVID-19 Normal
Michael K. McCall, Margaret Skutsch, Jordi Honey‐Rosés
2020· article· en· International Journal of E-Planning Research· Computer Science
distilled prediction:candidate · noneconsensus · none
14
citations
afffundunlabeled
Proactive Contact Tracing
Prateek Gupta, Tegan Maharaj, Martin Weiß, Nasim Rahaman, Hannah Alsdurf, Nanor Minoyan +11 more
2023· article· en· PLOS Digital Health· Computer Science
distilled prediction:candidate · insufficient_payloadconsensus · none
13
citations
afffundunlabeled
Listening to bluetooth beacons for epidemic risk mitigation
Gilles Barthe, Roberta De Viti, Peter Druschel, Deepak Garg, Manuel Gomez-Rodriguez, Pierfrancesco Ingo +5 more
2022· article· en· Scientific Reports· Computer Science
distilled prediction:candidate · stsconsensus · none
12
citations

How this was built: Screen · Findings · About