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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 Clinical Research 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.

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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.

2,625 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.
2,625 works in the cohort · of 4,299,418page 13 of 53

Labels cover 25 of 2,625 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 2,625 of 2,625 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.

afffundunlabeled
Clinical Features of Fatalities in Patients With COVID-19
Ya-Jun Sun, Yi-Jin Feng, Jing Chen, Bo Li, Zhong‐Cheng Luo, Pei-Xi Wang
2020· article· en· Disaster Medicine and Public Health Preparedness· Medicine
machine prediction:candidate · noneconsensus · none
28
citations
affunlabeled
Prophylaxis for COVID-19: a systematic review
Mikaëla Smit, Annalisa Marinosci, Thomas Agoritsas, Alexandra Calmy
2021· review· en· Clinical Microbiology and Infection· Medicine
machine prediction:candidate · noneconsensus · none
28
citations
affunlabeled
An overview of the gut side of the SARS-CoV-2 infection
Bruna Barbosa da Luz, Natália Mulinari Turin de Oliveira, Isabella Wzorek França dos Santos, Luana Zampieron Paza, Lara Luisa Valerio de Mello Braga, Fernanda da Silva Platner +3 more
2020· review· en· Intestinal Research· Medicine
machine prediction:candidate · noneconsensus · none
26
citations

How this was built: Screen · Findings · About