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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
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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.

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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.

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 40 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
Clinical decision rules in venous thromboembolism
Grégoire Le Gal, Marc Carrier, Marc Rodger
2012· review· en· Best Practice & Research Clinical Haematology· Medicine
machine prediction:candidate · noneconsensus · none
11
citations
affunlabeled
Venous Thromboembolism in Patients With Prior Stroke
Gregory Piazza, Samuel Z. Goldhaber, Aimee Kroll, Robert J. Goldberg, Catherine Emery, Frederick A. Spencer
2013· article· en· Clinical and Applied Thrombosis/Hemostasis· Medicine
machine prediction:candidate · noneconsensus · none
11
citations
affno abstractunlabeled
Thromboprophylaxis in routine arthroscopy of knee
Jihad Abouali, Forough Farrokhyar, Devin Peterson, Rick Ogilvie, Olufemi R. Ayeni
2013· article· en· Indian Journal of Orthopaedics· Medicine
machine prediction:candidate · noneconsensus · none
11
citations
affno abstractunlabeled
Heparin – Messias or Verschlimmbesserung?
Dawn Swan, Marc Carrier, Ton Lisman, Jecko Thachil
2021· review· de· Journal of Thrombosis and Haemostasis· Medicine
machine prediction:candidate · noneconsensus · none
11
citations
affno abstractunlabeled
Thrombolysis in Pulmonary Embolism
Eric Kaplovitch, Joseph R. Shaw, James D. Douketis
2020· review· en· Critical Care Clinics· Medicine
machine prediction:candidate · noneconsensus · none
11
citations
affunlabeled
Direct Oral Anticoagulants in Cancer Patients
Deepa Suryanarayan, Agnes Lee, Cynthia Sau Ting Wu
2019· review· en· Seminars in Thrombosis and Hemostasis· Medicine
machine prediction:candidate · noneconsensus · none
11
citations
affunlabeled
Decision curve analysis based on summary data
Iztok Hozo, Gordon Guyatt, Benjamin Djulbegović
2023· article· en· Journal of Evaluation in Clinical Practice· Medicine
machine prediction:candidate · metaresearchconsensus · none
11
citations
affunlabeled
Fondaparinux
Alexander G.G. Turpie, Bengt I. Eriksson, Kenneth A. Bauer, Michael R. Lassen
2004· review· en· Journal of the American Academy of Orthopaedic Surgeons· Medicine
machine prediction:candidate · noneconsensus · none
11
citations

How this was built: Screen · Findings · About