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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.

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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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Viral Infections and Outbreaks Research
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.

1,563 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.
1,563 works in the cohort · of 4,299,418page 23 of 32

Labels cover 3 of 1,563 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 1,563 of 1,563 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.

venueno affno abstractunlabeled
10.1016/j.yoph.2016.02.075
2000· article· en· Time to knit· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
1
citations
venueaboutno affunlabeled
Canadians leading anti-Ebola research
Jaya Rastogi
2014· article· en· Canadian Medical Association Journal· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Staying ahead of viruses: a never ending task
Daniel Lamarre, Mark A. Wainberg
2012· editorial· en· Current Opinion in Virology· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Engagement communautaire et prise en compte de la détresse psychologique, de la peur et de la stigmatisation dans la surveillance et la gestion des épidémies de la maladie à virus Ebola dans l’approche « Une seule santé » en République démocratique du Congo
Dieudonné Kazadi Mwamba, Christina Zarowsky, Célé Depaul Manianga, Serge Kapanga, Grégory Moullec
2024· article· fr· Global Health Promotion· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Painted People: Humanity in 21 Tattoos
2022· book· en· Open Access at Essex (University of Essex)· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
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How this was built: Screen · Findings · About