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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.

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.

2,625 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.
2,625 works in the cohort · of 4,299,418page 25 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.

affunlabeled
A systematic review of biomarkers among hospitalized patients with COVID‐19 predictive of venous thromboembolism: A communication from the Predictive and Diagnostic Variables Scientific and Standardization Committee of the ISTH
Scott C. Woller, Kerstin de Wit, Helia Robert‐Ebadi, Camila Masias, Frederikus A. Klok, Paul L. den Exter +3 more
2022· review· en· Research and Practice in Thrombosis and Haemostasis· Medicine
machine prediction:candidate · noneconsensus · none
7
citations
aboutno affunlabeled
Diabetes and Risk of COVID-19 Mortality
Hend Kandil, Ahmed Ibrahim, Naglaa Afifi, Ahmed Arafa
2021· article· en· Infectious Diseases in Clinical Practice· Medicine
machine prediction:candidate · noneconsensus · none
7
citations
affunlabeled
Defining the pediatric response to SARS-CoV-2 variants
Reanne M. Ho, Asha C Bowen, Christopher C. Blyth, Allison Imrie, Tobias R. Kollmann, Stephen M. Stick +1 more
2023· review· en· Frontiers in Immunology· Medicine
machine prediction:candidate · noneconsensus · none
7
citations
affno abstractunlabeled
Risks of hydroxychloroquine use for COVID-19 prophylaxis
Muskaan Sachdeva, Monica Shah, Michael Ziv, Eyal Leshem, Roni P. Dodiuk‐Gad
2020· letter· en· Journal of the American Academy of Dermatology· Medicine
machine prediction:candidate · noneconsensus · none
6
citations
6
citations
venueno affunlabeled
Is One Diagnostic Test for COVID-19 Enough?
Michael McAleer
2020· article· en· Journal of risk and financial management· Medicine
machine prediction:candidate · noneconsensus · none
6
citations
affunlabeled
Remdesivir: a pendulum in a pandemic
Ilan S. Schwartz, Emily L. Heil, Erin K McCreary
2020· article· en· BMJ· Medicine
machine prediction:candidate · noneconsensus · none
6
citations

How this was built: Screen · Findings · About