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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 72 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
Deep Vein Thrombosis in Amputee Patients
Amarjit S. Arneja, Hashem Alhashemi, Tracey Olafson, Patrick Gross
2013· article· en· PM&R· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Radiología de urgencias en pacientes con Sintron
Iliana Romero Batista, Valentina Troconis Vaamonde, Nadia Ouyon Ouyon, A. Lorenzo Górriz, Eva Casanovas Feliu, Soraya Barrachina Hidalgo
2018· article· es· Seram· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/s1634-6939(21)44750-2
2000· article· en· Time to knit· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
<scp>d</scp>-Dimer and Venous Thromboembolism
Russell D. Hull, William A. Ghali, Rollin Brant, Paul D. Stein
2004· article· en· Annals of Internal Medicine· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/s1885-9046(09)27059-0
2000· book-chapter· en· Time to knit· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
Predicting the future
Marc Rodger, Henri H. Versteeg
2017· editorial· en· Thrombosis Research· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Happy 20th Anniversary, JTH!
David Lillicrap, James H. Morrissey
2023· editorial· en· Journal of Thrombosis and Haemostasis· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/s0246-0289(14)41411-7
2000· article· en· Time to knit· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affno abstractunlabeled
10.1016/b978-0-7295-4301-9.00025-x
2000· book-chapter· 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 · noneconsensus · none
0
citations
affvenueno abstractunlabeled
The Authors Reply
Donna E. Stewart, Ariel Dalfen
2002· article· en· The Canadian Journal of Psychiatry· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Chez les personnes atteintes d’un cancer actif et d’une maladie thromboembolique veineuse anticoagulée pendant au moins 6 mois, un traitement prolongé à dose réduite d’apixaban est-il efficace pour prévenir les récidives et diminuer le risque de saignement, comparativement à une dose complète ?
L. Lanthier, Geneviève Le Templier, Alexandre Mutchmore, M.-É. Plourde, Michel Cauchon
2025· letter· fr· La Revue de Médecine Interne· Medicine
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About