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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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Research and Practice in Thrombosis and Haemostasis
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Retraction
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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
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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.

457 results · 1 filter active ·
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20172025
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Machine labels · sparse coverage
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
457 works in the cohort · of 4,299,418page 4 of 10

Labels cover 0 of 457 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 457 of 457 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.

affunlabeled
A systematic review of biomarkers among hospitalized patients with COVID‐19 predictive of venous thromboembolism: A communication from the Predictive and Diagnostic Variables Scientific and Standardization Committee of the ISTH
Scott C. Woller, Kerstin de Wit, Helia Robert‐Ebadi, Camila Masias, Frederikus A. Klok, Paul L. den Exter +3 more
2022· review· en· Research and Practice in Thrombosis and Haemostasis· Medicine
machine prediction:candidate · noneconsensus · none
7
citations
afffundunlabeled
Why is the uptake of gene therapy in hemophilia less than expected?
Glenn F. Pierce, Mark W. Skinner, Brian O’Mahony, Dawn Rotellini, Radosław Kaczmarek
2025· editorial· en· Research and Practice in Thrombosis and Haemostasis· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
6
citations
afffundunlabeled
Antiviral anticoagulation
Edward L.G. Pryzdial, Michael R. Sutherland, Bryan H. Lin, Marc S. Horwitz
2020· article· en· Research and Practice in Thrombosis and Haemostasis· Medicine
machine prediction:candidate · noneconsensus · none
6
citations
affunlabeled
Mini-clusters of postadenovirus VITT
Michele P. Lambert, Theodore E. Warkentin
2024· article· en· Research and Practice in Thrombosis and Haemostasis· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
6
citations
aboutno affunlabeled
What you don't know can kill you
Geoffrey D. Barnes
2017· article· en· Research and Practice in Thrombosis and Haemostasis· Medicine
machine prediction:candidate · noneconsensus · none
6
citations
affunlabeled
ADAMTS‐13 and bleeding phenotype in von Willebrand disease
Johan Boender, Angelique Nederlof, Karina Meijer, Evelien P. Mauser‐Bunschoten, Marjon H. Cnossen, Karin Fijnvandraat +15 more
2020· article· en· Research and Practice in Thrombosis and Haemostasis· Medicine
machine prediction:candidate · noneconsensus · none
5
citations
affunlabeled
Illustrated State-of-the-Art Capsules of the ISTH 2024 Congress
Chris M. Ward, Nicola Curry, Kerstin Jurk, Henri H. Versteeg, Charithani B. Keragala, Tal Burstyn-Cohen +24 more
2024· article· en· Research and Practice in Thrombosis and Haemostasis· Medicine
machine prediction:candidate · noneconsensus · none
5
citations
afffundunlabeled
Pilot trials in thrombosis: Purpose and pitfalls
Rick Ikesaka, Nicole Langlois, Marc Carrier, Clive Kearon, Grégoire Le Gal
2018· article· en· Research and Practice in Thrombosis and Haemostasis· Medicine
machine prediction:candidate · metaresearchconsensus · metaresearch
5
citations

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