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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
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 1 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.

affno abstractunlabeled
Comorbidity and its Impact on Patients with COVID-19
Adekunle Sanyaolu, Chuku Okorie, Aleksandra Marinkovic, Risha Patidar, Kokab Younis, Priyank Desai +4 more
2020· review· en· SN Comprehensive Clinical Medicine· Medicine
machine prediction:candidate · noneconsensus · none
1,600
citations
affunlabeled
A living WHO guideline on drugs for covid-19 (2020-2023)
Arnav Agarwal, Beverley J. Hunt, Miriam Stegemann, Bram Rochwerg, François Lamontagne, Reed Siemieniuk +76 more
2020· article· en· BMJ· Medicine
machine prediction:candidate · noneconsensus · none
1,089
citations
affno abstractunlabeled
Aging in COVID-19: Vulnerability, immunity and intervention
Yiyin Chen, Sabra L. Klein, Brian T. Garibaldi, Huifen Li, Cunjin Wu, Nicole M. Osevala +4 more
2020· review· en· Ageing Research Reviews· Medicine
machine prediction:candidate · noneconsensus · none
1,054
citations
affunlabeled
The Science Underlying COVID-19
Peter P. Liu, Alice Blet, David Smyth, Hongliang Li
2020· article· en· Circulation· Medicine
machine prediction:candidate · noneconsensus · none
835
citations
affno abstractunlabeled
COVID-19 and diabetes: Knowledge in progress
Akhtar Hussain, Bishwajit Bhowmik, Nayla Cristina do Vale Moreira
2020· review· en· Diabetes Research and Clinical Practice· Medicine
machine prediction:candidate · noneconsensus · none
820
citations
affunlabeled
Interferon-α2b Treatment for COVID-19
Qiong Zhou, Virginia Chen, Casey P. Shannon, Xiao‐Shan Wei, Xuan Xiang, Xu Wang +4 more
2020· article· en· Frontiers in Immunology· Medicine
machine prediction:candidate · noneconsensus · none
386
citations

How this was built: Screen · Findings · About