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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 and healthcare impacts
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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.

2,192 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.
2,192 works in the cohort · of 4,299,418page 37 of 44

Labels cover 8 of 2,192 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 2,192 of 2,192 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
18 Joy at work: NSQIP in times of COVID
Heather Bolecz, Angela Tecson, Ashraf Amlani-Rajan, Rebecca McCulloch, Lisa Sahota
2022· article· en· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
events.2019.20200427085336.tab
Elizabeth Boschee, Jennifer Lautenschlager, Sean O’Brien, Steve Shellman, James Starz, Michael P. Ward
2020· dataset· en· Harvard Dataverse· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Occurrence Download
2025· dataset· en· Global Biodiversity Information Facility· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affvenueno abstractunlabeled
Publication During the COVID-19 Pandemic
Victoria Williams, Devon Metcalf
2020· article· en· Canadian Journal of Infection Control· Medicine
machine prediction:candidate · metaresearchconsensus · none
0
citations
venueno affno abstractunlabeled
COVID-19 in the Hospitals
Sarah Hourston
2021· article· en· CAND Journal· Medicine
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About