MétaCan
Menu
Cohort builder

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.

Search term
Author
Year range
Sort
Language
Type
Field
Venue
Journal of Thrombosis and Haemostasis
Topic
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.

1,221 results · 1 filter active ·
Results by year
20032025
Publication date
Categories
Machine labels · sparse coverage
Evidence
Language
Type
Citations
An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
1,221 works in the cohort · of 4,299,418page 10 of 25

Labels cover 1 of 1,221 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 1,221 of 1,221 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
Empirical and theoretical phenotypic discrimination
Kathleen E. Brummel‐Ziedins, Thomas Orfeo, F.R. Rosendaal, Anetta Undas, Georges‐Étienne Rivard, Saulius Butenas +1 more
2009· review· en· Journal of Thrombosis and Haemostasis· Medicine
machine prediction:candidate · noneconsensus · none
36
citations
affno abstractunlabeled
Dietary hempseed reduces platelet aggregation
Mélanie N. Richard, Riya Ganguly, Sarah N. Steigerwald, Abdulwahab Al-Khalifa, Grant N. Pierce
2007· letter· en· Journal of Thrombosis and Haemostasis· Nursing
machine prediction:candidate · noneconsensus · none
35
citations
afffundno abstractunlabeled
Gene therapy for hemophilia: an imperative to succeed
Christine Hough, David Lillicrap
2005· review· en· Journal of Thrombosis and Haemostasis· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
34
citations
affno abstractunlabeled
Risk stratification of acute pulmonary embolism
Kerstin de Wit, Christine L. D’Arsigny
2023· review· en· Journal of Thrombosis and Haemostasis· Medicine
machine prediction:candidate · noneconsensus · none
34
citations
afffundno abstractunlabeled
Investigation of anti-PF4 versus anti-PF4/heparin reactivity using fluid-phase enzyme immunoassay for 4 anti-PF4 disorders: classic heparin-induced thrombocytopenia (HIT), autoimmune HIT, vaccine-induced immune thrombotic thrombocytopenia, and spontaneous HIT
Theodore E. Warkentin, Donald M. Arnold, Jo‐Ann I. Sheppard, Jane C. Moore, John G. Kelton, Ishac Nazy
2023· article· en· Journal of Thrombosis and Haemostasis· Medicine
machine prediction:candidate · noneconsensus · none
34
citations

How this was built: Screen · Findings · About