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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 12 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
Ten big mistakes in intensive care medicine
Jean‐Louis Vincent, Jesse B. Hall, Arthur S. Slutsky
2014· article· en· Intensive Care Medicine· Medicine
machine prediction:candidate · noneconsensus · none
22
citations
affno abstractunlabeled
Gastric hypercarbia and adverse outcome after cardiac surgery
Minoo N. Kavarana, Robert J. Frumento, Andrew L. Hirsch, Mehmet C. Oz, Daniel Lee, Elliott Bennett‐Guerrero
2003· article· en· Intensive Care Medicine· Medicine
machine prediction:candidate · noneconsensus · none
21
citations
affno abstractunlabeled
The World Health Assembly resolution on integrated emergency, critical, and operative care for universal health coverage and protection from health emergencies: a golden opportunity to attenuate the global burden of acute and critical illness
Christian Owoo, Neill K. J. Adhikari, Olurotimi Akinola, Diptesh Aryal, Luciano César Pontes Azevedo, Tigist Bacha +32 more
2023· editorial· en· Intensive Care Medicine· Health Professions
machine prediction:candidate · noneconsensus · none
21
citations
affno abstractunlabeled
Rapid response teams improve outcomes: no
Ritesh Maharaj, Henry T. Stelfox
2016· editorial· en· Intensive Care Medicine· Medicine
machine prediction:candidate · noneconsensus · none
21
citations
affno abstractunlabeled
The thin line between life and death
David Bracco, Nicolas Noiseux, Thomas M. Hemmerling
2007· review· en· Intensive Care Medicine· Medicine
machine prediction:candidate · noneconsensus · none
20
citations
affno abstractunlabeled
Lung recruitment
Annemijn H. Jonkman, V. Marco Ranieri, Laurent Brochard
2022· editorial· en· Intensive Care Medicine· Medicine
machine prediction:candidate · noneconsensus · none
19
citations
affno abstractunlabeled
Can this patient be safely weaned from RRT?
Kada Klouche, R. T. Noel Gibney, Lui G. Forni
2017· article· en· Intensive Care Medicine· Medicine
machine prediction:candidate · noneconsensus · none
19
citations
affno abstractunlabeled
Impact of leadership on ICU clinicians’ burnout
Amr Salah Omar, Sameh Elmaraghi, Mohsen Mahmoud, Mohamed A. Khalil, Rajvir Singh, Peter J. Ostrowski
2015· letter· en· Intensive Care Medicine· Health Professions
machine prediction:candidate · noneconsensus · none
18
citations
affno abstractunlabeled
Focus on sepsis
Morten Hylander Møller, Waleed Alhazzani, Manu Shankar‐Hari
2019· editorial· en· Intensive Care Medicine· Medicine
machine prediction:candidate · noneconsensus · none
18
citations
affno abstractunlabeled
Immunoglobulins and sepsis
Manu Shankar‐Hari, Martin Bruun Madsen, Alexis F. Turgeon
2018· review· en· Intensive Care Medicine· Medicine
machine prediction:candidate · noneconsensus · none
17
citations

How this was built: Screen · Findings · About