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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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Intensive Care Medicine
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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.

1,011 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.
1,011 works in the cohort · of 4,299,418page 18 of 21

Labels cover 0 of 1,011 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 1,011 of 1,011 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
Focus on ventilation and ARD: recent insights
Audrey De Jong, Samir Jaber, Niall D. Ferguson
2019· article· en· Intensive Care Medicine· Medicine
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
What’s new in ARDS (clinical studies)
Nuttapol Rittayamai, Laurent Brochard
2014· review· en· Intensive Care Medicine· Medicine
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Focus on severe infections
Kevin B. Laupland, Jean‐François Timsit
2017· review· en· Intensive Care Medicine· Medicine
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Ten false beliefs in neurocritical care
Geert Meyfroidt, David Menon, Alexis F. Turgeon
2018· article· en· Intensive Care Medicine· Medicine
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Using the helmet
Alice Grassi, Giacomo Bellani
2024· editorial· en· Intensive Care Medicine· Medicine
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Guidelines seek unbiased recommendations
Alexander P. J. Vlaar, Simon Oczkowski, Gavin J. Murphy, Anders Perner, Gordon Guyatt, Joanna C. Dionne +1 more
2020· letter· en· Intensive Care Medicine· Medicine
machine prediction:candidate · metaresearchconsensus · none
1
citations
affno abstractunlabeled
William John Sibbald: in memoriam
Arthur S. Slutsky, Tom E. Stewart, Andreas Laupacis
2006· article· en· Intensive Care Medicine· Arts and Humanities
machine prediction:candidate · noneconsensus · none
1
citations
fundno affunlabeled
21st ESICM Annual Congress
2008· article· en· Intensive Care Medicine· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
1
citations
affno abstractunlabeled
Reply to Andrade and Pallin
Brian H. Cuthbertson, Sylvie Chevret, Jean‐Louis Vincent, Mark Garfield, Klaus Freivogel, Pierre François Laterre +1 more
2010· article· en· Intensive Care Medicine· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Sense and sensibility
Nicole Hunfeld, Yoanna Skrobik
2023· letter· en· Intensive Care Medicine· Psychology
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About