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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
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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 29 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
Diagnosis of Pulmonary Embolism in the Coronary Care Unit
Paul D. Stein, H. Dirk Sostman, Russell D. Hull, Lawrence R. Goodman, Kenneth V. Leeper, Alexander Gottschalk +2 more
2009· review· en· The American Journal of Cardiology· Medicine
machine prediction:candidate · noneconsensus · none
23
citations
affunlabeled
Implementation science approaches to optimizing venous thromboembolism prevention in patients with traumatic injuries: Findings from the 2022 Consensus Conference to Implement Optimal Venous Thromboembolism Prophylaxis in Trauma
Asanthi Ratnasekera, William Geerts, Elliott R. Haut, Michelle A. Price, Todd W. Costantini, Patrick Murphy
2022· article· en· The Journal of Trauma: Injury, Infection, and Critical Care· Medicine
machine prediction:candidate · metaresearchconsensus · none
22
citations
affunlabeled
Management of patients on antithrombotic therapy with severe infections: a joint clinical consensus statement of the ESC Working Group on Thrombosis, the ESC Working Group on Atherosclerosis and Vascular Biology, and the International Society on Thrombosis and Haemostasis
Bruna Gigante, Jerrold H. Levy, Eric C. M. Van Gorp, Alessandro Bartoloni, Marie‐Luce Bochaton‐Piallat, Magnus Bäck +11 more
2023· article· en· European Heart Journal· Medicine
machine prediction:candidate · noneconsensus · none
22
citations
affno abstractunlabeled
Thrombosis and bleeding in hematological malignancy
Tzu‐Fei Wang, Avi Leader, Kristen M. Sanfilippo
2022· review· en· Best Practice & Research Clinical Haematology· Medicine
machine prediction:candidate · noneconsensus · none
22
citations
affno abstractunlabeled
Management of Acute Pulmonary Embolism
Connor Tice, Matthew Seigerman, Paul N. Fiorilli, Steven C. Pugliese, Sameer Khandhar, Jay Giri +1 more
2020· review· en· Current Cardiovascular Risk Reports· Medicine
machine prediction:candidate · noneconsensus · none
22
citations

How this was built: Screen · Findings · About