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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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Venous Thromboembolism Diagnosis and Management
Retraction
Abstract
Evidence source
Study design
Label agreement
Label status

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.

4,678 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.
4,678 works in the cohort · of 4,299,418page 73 of 94

Labels cover 22 of 4,678 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 4,678 of 4,678 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
Proliferation
Henri H. Versteeg, Marc Rodger
2017· letter· en· Thrombosis Research· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Dix cas de thrombose de la veine cave caudale
Ilonka Sigrist, Sébastien Buczinski, David Francoz
2008· article· fr· ˜Le œPoint vétérinaire· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Deep Vein Thrombosis
Eddy Lang, Philip S. Wells
2008· other· en· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/s2211-0364(20)30089-3
2000· article· en· Time to knit· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
Response
M. Hassan Murad, Susan R. Kahn
2018· letter· en· CHEST Journal· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Changing the guard
Marc Rodger, Henri H. Versteeg
2016· editorial· en· Thrombosis Research· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
afffundno abstractunlabeled
In reply
Kerstin de Wit, Rick Ikesaka, Noel Chan, Federico Germini
2023· letter· en· Annals of Emergency Medicine· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/s1155-1984(18)83482-3
2000· article· en· Time to knit· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
Highlights from the II international symposium of thrombosis and anticoagulation (ISTA), October 22-23, 2009, So Paulo, Brazil
Renato D. Lópes, David García, Richard C. Becker, Christopher B. Granger, L. Kristin Newby, John H. Alexander +9 more
2010· article· en· Scientific Electronic Library Online (São Paulo Research Foundation, Latin American and Caribbean Center on Health Sciences Information, Conselho Nacional de Desenvolvimento Científico e Tecnológico)· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Response
Seung Won, Don D. Sin
2017· letter· en· CHEST Journal· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
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