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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 15 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
Outpatient Therapies for COVID-19: How Do We Choose?
Todd C. Lee, Andrew M. Morris, Steven A. Grover, Srinivas Murthy, Emily G. McDonald
2022· article· en· Open Forum Infectious Diseases· Medicine
machine prediction:candidate · noneconsensus · none
22
citations
affno abstractunlabeled
Advances in immunotherapy for COVID-19: A comprehensive review
Masoomeh Masoomikarimi, Behzad Garmabi, Javad Alizadeh, Erfan Kazemi, Amirhossein Azari Jafari, Seyyedmohammadsadeq Mirmoeeni +3 more
2021· review· en· International Immunopharmacology· Medicine
machine prediction:candidate · noneconsensus · none
21
citations
affunlabeled
Obesity Is Associated with Attenuated Tissue Immunity in COVID-19
Shuang Andrew Guo, Georgina Bowyer, John R. Ferdinand, Mailis Maes, Zewen Kelvin Tuong, Eleanor Gillman +20 more
2022· article· en· American Journal of Respiratory and Critical Care Medicine· Medicine
machine prediction:candidate · noneconsensus · none
20
citations
afffundunlabeled
Circulating proteins to predict COVID-19 severity
Chen‐Yang Su, Sirui Zhou, Edgar Gonzalez‐Kozlova, Guillaume Butler‐Laporte, Elsa Brunet‐Ratnasingham, Tomoko Nakanishi +59 more
2023· article· en· Scientific Reports· Medicine
machine prediction:candidate · noneconsensus · none
19
citations

How this was built: Screen · Findings · About