MétaCan
Menu
Cohort builder

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.

Search term
Author
Year range
Sort
Language
Type
Field
Venue
Critical Care Medicine
Topic
Retraction
Abstract
Evidence source
Study design
Label agreement
Label status

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
fundfunder
venuejournal
aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

1,512 results · 1 filter active ·
Results by year
20002025
Publication date
Categories
Machine labels · sparse coverage
Evidence
Language
Type
Citations
An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
1,512 works in the cohort · of 4,299,418page 24 of 31

Labels cover 3 of 1,512 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 1,512 of 1,512 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.

affaboutunlabeled
767
François Lauzier, David Williamson, Donald Griesdale, Peter Dodek, Éric Deland, Michael J. Cox +3 more
2012· article· en· Critical Care Medicine· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
2
citations
affaboutunlabeled
Pregnancy and Risk*
Moza Al-Kalbani, Stephen E. Lapinsky
2020· letter· en· Critical Care Medicine· Environmental Science
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
The authors reply
Darren M. Roberts, Robert S. Hoffman, Sophie Gosselin, Bruno Mégarbane, Chris Yates, Marc Ghannoum
2015· letter· en· Critical Care Medicine· Medicine
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
425
Anwar Murad, Jason Shahin, Sandra Dial
2012· article· en· Critical Care Medicine· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
2
citations
affunlabeled
Death in the ICU
Niranjan Kissoon, Lori d’Agincourt-Canning
2014· letter· en· Critical Care Medicine· Medicine
machine prediction:candidate · noneconsensus · none
2
citations
fundno affunlabeled
What Is the Best Heparin to Treat Sepsis With?
Stijn van Roessel, Anja M. van der Laan, Anne-Cornélie J. M. Pont
2015· letter· en· Critical Care Medicine· Medicine
machine prediction:candidate · noneconsensus · none
2
citations
affaboutunlabeled
Choosing brain over lungs: Who wins?*
Eyal Golan, Eddy Fan
2011· letter· en· Critical Care Medicine· Medicine
machine prediction:candidate · noneconsensus · none
2
citations
affaboutunlabeled
Hematin and Neuroglobin
G. Bryan Young
2013· letter· en· Critical Care Medicine· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
1
citations
affaboutunlabeled
Does Haloperidol Cause Delirium?*
Mathew B. Kiberd, Richard Hall
2015· letter· en· Critical Care Medicine· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Vasospasm After Pediatric Traumatic Brain Injury
Laurence Ducharme‐Crevier, Géraldine Pettersen, Guillaume Émériaud
2015· letter· en· Critical Care Medicine· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affaboutunlabeled
Research During Pandemics
Niranjan Kissoon, John C. Marshall
2013· letter· en· Critical Care Medicine· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
430
Hussein D. Kanji, Donald Griesdale, Peter Dodek, Steven Reynolds, Jessica McCallum, George Isac +3 more
2012· article· en· Critical Care Medicine· Engineering
machine prediction:candidate · insufficient_payloadconsensus · none
1
citations
affaboutunlabeled
Toward Practicing What We Preach
Myles Leslie, Elise Paradis
2016· letter· en· Critical Care Medicine· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
affaboutunlabeled
The authors reply
Sonny Dhanani, G. Bryan Young, Sam D. Shemie
2014· letter· en· Critical Care Medicine· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affaboutunlabeled
Model Calibration in a Large Cohort Study
Yannick Le Manach, Gary S. Collins
2015· letter· en· Critical Care Medicine· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affaboutunlabeled
651
Mark Duffett, Karen Choong, Cynthia Cupido, Lisa Hartling, Kusum Menon, Lehana Thabane
2012· article· en· Critical Care Medicine· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
1
citations
affunlabeled
Restricting resident work hours
Darren Hudson, Robert C. McDermid, R. T. Noel Gibney
2012· letter· en· Critical Care Medicine· Medicine
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About