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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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SARS-CoV-2 detection and testing
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.

1,161 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.
1,161 works in the cohort · of 4,299,418page 23 of 24

Labels cover 2 of 1,161 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 1,161 of 1,161 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.

affaboutunlabeled
Wastewater-based surveillance for SARS-CoV-2 in Alberta
Danielle A. Southern, Casey R. J. Hubert, Michael D. Parkins, Tyler Williamson
2024· article· en· International Journal for Population Data Science· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
afffundunlabeled
Testing for COVID-19: Some Statistical Issues
Grace Y. Yi, Wenqing He, Dennis K. J. Lin, Chun Ming Yu
2021· article· en· Journal of Data Science· Medicine
machine prediction:candidate · metaresearchconsensus · metaresearch
0
citations
fundno affunlabeled
Corrigendum
2020· erratum· en· Addiction· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affno abstractunlabeled
Test Ltp (Preprint)
Subhashree Biswal, Tadele Abraham
2024· article· en· JMIR Medical Informatics· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
A.L. Copley Best Paper Prize 2018
F. Jung, Philippe Connes, Christine Lehmann
2019· editorial· en· Clinical Hemorheology and Microcirculation· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
qakcn/MassBankML: Release on Feb 9, 2025
2025· other· en· Zenodo (CERN European Organization for Nuclear Research)· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Group Testing and Batch Verification.
Gregory M. Zaverucha, Douglas R. Stinson
2009· preprint· en· IACR Cryptology ePrint Archive· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
[Lord Strathcona and passenger train]
2023· other· en· cIRcle (University of British Columbia)· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Detection of SARS-CoV-2 from combined nasal/rectal swabs
Adriana M. Airo, Kevin R. Barker, Matthew Muller, Linda R. Taggart, Karel Boissinot, Ramzi Fattouh +2 more
2023· article· en· Antimicrobial Stewardship & Healthcare Epidemiology· Medicine
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About