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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 16 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
Vitamin C in sepsis
Paul J. Young, François Lamontagne, Tomoko Fujii
2022· letter· en· Intensive Care Medicine· Nursing
machine prediction:candidate · noneconsensus · none
7
citations
affunlabeled
Echocardiography guided management of atrial fibrillation
Martin Balík, Philippe Vignon, Michelle S. Chew, Guido Tavazzi, Paul H. Mayo, Ghislaine Douflé +7 more
2025· review· en· Intensive Care Medicine· Medicine
machine prediction:candidate · noneconsensus · none
6
citations
affno abstractunlabeled
What’s new in cell therapies in ARDS?
Shahd Horie, Gerard F. Curley, John G. Laffey
2015· review· en· Intensive Care Medicine· Medicine
machine prediction:candidate · noneconsensus · none
6
citations
afffundno abstractunlabeled
Future therapies for ARDS
Gerard F. Curley, John G. Laffey
2014· article· en· Intensive Care Medicine· Medicine
machine prediction:candidate · noneconsensus · none
6
citations
affno abstractunlabeled
Atelectrauma: promotion and prevention
John J. Marini, A. S. Slutsky
2025· article· en· Intensive Care Medicine· Medicine
machine prediction:candidate · noneconsensus · none
6
citations
affno abstractunlabeled
Current standard of care for septic shock
Anthony Delaney, Marcío Borges-Sa, Michelle S. Chew, Jan J. De Waele, Jacob Dye, Ashish K. Khanna +11 more
2025· article· en· Intensive Care Medicine· Medicine
machine prediction:candidate · noneconsensus · none
6
citations
afffundno abstractunlabeled
From the inside out: personal journeys in intensive care
Briseida Mema, Andrew Helmers, Cory Anderson, Kyung-Seo Min, Laura Emdal Navne
2020· article· en· Intensive Care Medicine· Medicine
machine prediction:candidate · noneconsensus · none
5
citations
affno abstractunlabeled
The ten studies that should be done in ARDS
Shailesh Bihari, John G. Laffey, Andrew D. Bersten
2016· article· en· Intensive Care Medicine· Medicine
machine prediction:candidate · metaresearchconsensus · metaresearch
5
citations
affno abstractunlabeled
Scheduled intravenous opioids
Cathrine McKenzie, Yoanna Skrobik, John W. Devlin
2023· article· en· Intensive Care Medicine· Medicine
machine prediction:candidate · noneconsensus · none
5
citations

How this was built: Screen · Findings · About