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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 13 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
White paper: statement on conflicts of interest
Julian Bion, Massimo Antonelli, Lluís Blanch, J. Randall Curtis, Christiane Druml, Bin Du +7 more
2018· article· en· Intensive Care Medicine· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · metaresearch+research_integrityconsensus · none
16
citations
affunlabeled
Statistical analysis plan of PROWESS SHOCK study
Bruce Thompson, V. Marco Ranieri, Simon Finfer, Philip S. Barie, Jean-François Dhainaut, Ivor S. Douglas +3 more
2010· letter· en· Intensive Care Medicine· Medicine
machine prediction:candidate · noneconsensus · none
16
citations
afffundno abstractunlabeled
Critical illness and the gut microbiome
Taylor Kain, Joanna C. Dionne, John C. Marshall
2024· editorial· en· Intensive Care Medicine· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
16
citations
affno abstractunlabeled
Extracorporeal life support for adult patients with ARDS
Alain Combes, Alexander Supady, Darryl Abrams, Cara Agerstrand, Jenelle Badulak, Luigi Camporota +12 more
2025· review· en· Intensive Care Medicine· Engineering
machine prediction:candidate · noneconsensus · none
15
citations
affno abstractunlabeled
Measuring patient’s effort on the ventilator
Rodrigo Cornejo, Irene Telías, Laurent Brochard
2024· editorial· en· Intensive Care Medicine· Medicine
machine prediction:candidate · noneconsensus · none
15
citations
affno abstractunlabeled
Benefits and harms of early rehabilitation
Brian H. Cuthbertson, Shannon L. Goddard
2017· editorial· en· Intensive Care Medicine· Medicine
machine prediction:candidate · noneconsensus · none
15
citations
affno abstractunlabeled
The Berlin definition met our needs: yes
Lorenzo Del Sorbo, V. Marco Ranieri, Niall D. Ferguson
2016· editorial· en· Intensive Care Medicine· Medicine
machine prediction:candidate · noneconsensus · none
15
citations
affno abstractunlabeled
Clinical meaning of the GRADE rules
Bram Rochwerg, Waleed Alhazzani, Roman Jaeschke
2014· article· en· Intensive Care Medicine· Medicine
machine prediction:candidate · metaresearchconsensus · none
15
citations
affno abstractunlabeled
What’s new in oxygen therapy?
Massimo Girardis, Waleed Alhazzani, Bodil Steen Rasmussen
2019· editorial· en· Intensive Care Medicine· Medicine
machine prediction:candidate · noneconsensus · none
15
citations
affno abstractunlabeled
What’s new with tracheostomy?
Damon C. Scales
2013· article· en· Intensive Care Medicine· Medicine
machine prediction:candidate · noneconsensus · none
14
citations
affno abstractunlabeled
Atrial fibrillation in critical illness: state of the art
Stephanie Sibley, Jonathan Bedford, Mik Wetterslev, Brian Johnston, Tessa Garside, Salmaan Kanji +9 more
2025· review· en· Intensive Care Medicine· Medicine
machine prediction:candidate · noneconsensus · none
14
citations
affno abstractunlabeled
Tissue necrosis after propofol extravasation
Jaclyn M. LeBlanc, Donald H. Lalonde, Kayla Cameron, John A. Mowatt
2013· letter· en· Intensive Care Medicine· Medicine
machine prediction:candidate · noneconsensus · none
14
citations

How this was built: Screen · Findings · About