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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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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 76 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.

affvenueunlabeled
Inferior vena cava filters
Sean A. Kennedy, Mark O. Baerlocher
2015· article· en· Canadian Medical Association Journal· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/s1544-8800(06)70609-1
2000· article· en· Time to knit· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
The Reply
Marc Carrier, Alok A. Khorana, Jeffrey I. Zwicker
2014· letter· en· The American Journal of Medicine· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Performance du score de probabilité à 4 niveaux 4PEPS pour le diagnostic de l'embolie pulmonaire dans une population d'Afrique subsaharienne : données du Registre des Embolies Pulmonaires du Centre Hospitalier Universitaire de Bogodogo, Burkina Faso
Taryètba André Arthur Seghda, Temoua Dan Naibé, Yirtièrou Eric Dabiré, Martin Wendlassida Nacanabo, Sandrine Damoué Seghda, Djième Claudine Dah +7 more
2024· article· fr· Annales de Cardiologie et d Angéiologie· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Deep Vein Thrombosis
M. GABRIEL KHAN
2006· book-chapter· en· Elsevier eBooks· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
We're number 3!
Marc Rodger, Henri H. Versteeg
2016· editorial· en· Thrombosis Research· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Critical predictors of pulmonary embolism
Joshua Guttman, Jerrald Dankoff
2012· letter· en· Canadian Journal of Emergency Medicine· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Management of Venous and Arterial Thrombosis
Lucia Stančiaková, Maha Othman, Peter Kubisz
2024· editorial· en· Journal of Clinical Medicine· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affvenueno abstractunlabeled
La littérature médicale mondiale
Cleve Ziegler
2019· article· fr· Journal of Obstetrics and Gynaecology Canada· Medicine
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About