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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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Trauma, Hemostasis, Coagulopathy, Resuscitation
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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
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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.

1,108 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.
1,108 works in the cohort · of 4,299,418page 3 of 23

Labels cover 3 of 1,108 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 1,108 of 1,108 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
Thromboelastography (TEG)
Maha Othman, Harmanpreet Kaur
2017· review· en· Methods in molecular biology· Medicine
machine prediction:candidate · noneconsensus · none
82
citations
affunlabeled
Epidemiology of Septic Acute Kidney Injury
Ambica Parmar, Christoph Langenberg, Li Wan, Clive N. May, Rinaldo Bellomo, Sean M. Bagshaw
2009· review· en· Current Drug Targets· Medicine
machine prediction:candidate · noneconsensus · none
69
citations
affunlabeled
The Use of Higher Platelet
Julie Hallet, François Lauzier, Olivier Mailloux, Vincent Trottier, Patrick Archambault, Ryan Zarychanski +1 more
2013· review· en· Critical Care Medicine· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
69
citations
affaboutunlabeled
Fluid Accumulation in Critically Ill Children*
Rashid Alobaidi, Rajit K. Basu, Allan DeCaen, Ari R. Joffe, Laurance Lequier, Neesh Pannu +1 more
2020· article· en· Critical Care Medicine· Medicine
machine prediction:candidate · noneconsensus · none
68
citations
affunlabeled
Fluids are drugs
Karthik Raghunathan, Andrew Shaw, Sean M. Bagshaw
2013· review· en· Current Opinion in Critical Care· Medicine
machine prediction:candidate · noneconsensus · none
67
citations
afffundunlabeled
Use of Intravenous Albumin
Nikolaos J. Skubas, Aarti Bathla, Homa Keshavarz, Edward G. Clark, Bram Rochwerg, Dean Fergusson +16 more
2024· article· fi· CHEST Journal· Medicine
machine prediction:candidate · noneconsensus · none
66
citations
affunlabeled
Trauma and Endothelial Glycocalyx
Mazin Tuma, Sergio Canestrini, Zeina Alwahab, John Marshall
2016· review· en· Shock· Medicine
machine prediction:candidate · noneconsensus · none
62
citations
affunlabeled
Fibrinogen Supplementation and Its Indications
Oliver Grottke, Shuba Mallaiah, Keyvan Karkouti, Fuat H. Saner, Thorsten Haas
2019· review· en· Seminars in Thrombosis and Hemostasis· Medicine
machine prediction:candidate · noneconsensus · none
61
citations

How this was built: Screen · Findings · About