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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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Nosocomial Infections in ICU
Retraction
Abstract
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Study design
Label agreement
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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
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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.

667 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.
667 works in the cohort · of 4,299,418page 13 of 14

Labels cover 4 of 667 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 667 of 667 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
Under pressure: another clinical scenario
Narinder Pal Singh, Jeetinder Kaur Makkar, Vincent Wourms, Ron B. Cappellani
2018· letter· en· Canadian Journal of Anesthesia/Journal canadien d anesthésie· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
… About nosocomial pneumonia
Becky Lien Munson
2003· article· en· Nursing· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/j.ypdi.2015.12.013
2000· article· en· Time to knit· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affno abstractunlabeled
10.1016/s1241-8234(20)30015-8
2000· article· en· Time to knit· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Paralecanium neoguineense Hodgson, spec. n.
2018· article· en· Zenodo (CERN European Organization for Nuclear Research)· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Nosocomial Pneumonia
France Gauvin, Jacques Lacroix
2002· article· en· Critical Care Medicine· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Il faut agir rapidement
Glen Brown
2007· article· fr· The Canadian Journal of Hospital Pharmacy· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Celebrating the Celebration
Ricardo da Silveira Lobo Sternberg
2001· article· en· Revista Canadiense de Estudios Hispánicos· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
The Need to be Quick.
Glen Brown
2009· article· en· The Canadian Journal of Hospital Pharmacy· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/b978-2-294-74038-1.00005-2
2000· book-chapter· en· Time to knit· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations

How this was built: Screen · Findings · About