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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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SARS-CoV-2 and COVID-19 Research
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.

4,166 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.
4,166 works in the cohort · of 4,299,418page 8 of 84

Labels cover 17 of 4,166 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 4,166 of 4,166 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
[no title]
Rajeka Lazarus, Sarah Baos, Heike Cappel-Porter, Andrew Carson‐Stevens, Madeleine Clout, Lucy Culliford +23 more
2021· article· en· Repository@Nottingham (University of Nottingham)· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
89
citations
affunlabeled
Safety & effectiveness of COVID-19 vaccines
Francesco Chirico, Jaime A. Teixeira da Silva, Panagiotis Tsigaris, Khan Sharun
2022· review· en· The Indian Journal of Medical Research· Medicine
machine prediction:candidate · noneconsensus · none
88
citations
afffundunlabeled
Susceptibility of Pigs and Chickens to SARS Coronavirus
Hana M. Weingartl, John Copps, Michael Drebot, Peter Marszal, Gregory A. Smith, Jason Gren +4 more
2004· article· en· Emerging infectious diseases· Medicine
machine prediction:candidate · noneconsensus · none
86
citations
fundno affunlabeled
Monitoring of SARS‐CoV‐2 infection in mustelids
Anette Boklund, Paolo Pasquali, Helen Clare Roberts, Søren Saxmose Nielsen, Arjan Stegeman, Francesca Baldinelli +4 more
2021· article· en· EFSA Journal· Medicine
machine prediction:candidate · noneconsensus · none
83
citations
affno abstractunlabeled
Fear of the novel coronavirus
David J. Kelvin, Salvatore Rubino
2020· letter· en· The Journal of Infection in Developing Countries· Medicine
machine prediction:candidate · noneconsensus · none
81
citations

How this was built: Screen · Findings · About