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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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Journal of Thrombosis and Thrombolysis
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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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aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

203 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.
203 works in the cohort · of 4,299,418page 1 of 5

Labels cover 0 of 203 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 203 of 203 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
d-Dimer elevation and adverse outcomes
Rim Halaby, Christopher J. Popma, Ander Cohen, Gerald Chi, Marcelo Rodrigues Zacarkim, Gonzalo Romero +12 more
2014· review· en· Journal of Thrombosis and Thrombolysis· Medicine
machine prediction:candidate · noneconsensus · none
146
citations
affunlabeled
Guidance for the management of venous thrombosis in unusual sites
Walter Ageno, Jan Beyer‐Westendorf, David García, Alejandro Lazo‐Langner, Robert D. McBane, Maurizio Paciaroni
2016· review· en· Journal of Thrombosis and Thrombolysis· Medicine
machine prediction:candidate · noneconsensus · none
118
citations
afffundno abstractunlabeled
Markers of platelet apoptosis: methodology and applications
Armen V. Gyulkhandanyan, Asuman Mutlu, John Freedman, Valery Leytin
2012· review· en· Journal of Thrombosis and Thrombolysis· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
97
citations
affaboutno abstractunlabeled
Platelet and endothelial activity in comorbid major depression and coronary artery disease patients treated with citalopram: the Canadian Cardiac Randomized Evaluation of Antidepressant and Psychotherapy Efficacy Trial (CREATE) biomarker sub-study
Louis T. van Zyl, François Lespérance, Nancy Frasure‐Smith, Alex I. Malinin, Dan Atar, Marc-André Laliberté +1 more
2008· article· en· Journal of Thrombosis and Thrombolysis· Medicine
machine prediction:candidate · noneconsensus · none
71
citations
affno abstractunlabeled
Update on heparin: what do we need to know?
Daniel Weitz, Jeffrey I. Weitz
2009· review· en· Journal of Thrombosis and Thrombolysis· Medicine
machine prediction:candidate · noneconsensus · none
71
citations
affno abstractunlabeled
Design of the rivaroxaban for heparin-induced thrombocytopenia study
Lori‐Ann Linkins, Theodore E. Warkentin, Menaka Pai, Sudeep Shivakumar, Rizwan A. Manji, Philip S. Wells +1 more
2014· article· en· Journal of Thrombosis and Thrombolysis· Medicine
machine prediction:candidate · noneconsensus · none
35
citations

How this was built: Screen · Findings · About