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
Topic
Sepsis Diagnosis and Treatment
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.

2,945 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.
2,945 works in the cohort · of 4,299,418page 45 of 59

Labels cover 9 of 2,945 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 2,945 of 2,945 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.

aboutno affunlabeled
Editor’s Choice Articles for December
Robert C. Tasker
2022· article· en· Pediatric Critical Care Medicine· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affaboutno abstractunlabeled
Exploring vulnerabilities to sepsis in Canada
Niranjan Kissoon, J. Mark Ansermino
2019· letter· en· Canadian Journal of Anesthesia/Journal canadien d anesthésie· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
The authors reply
Djillali Annane, Roman Jaeschke, R. Phillip Dellinger
2013· letter· en· Critical Care Medicine· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Pediatric sepsis prediction: Human in the loop framework
Radha Nagarajan, Sandip A. Godambe, Raina Paul, Ryan Tennant, K.J.S. Anand, Emma Sandhu +5 more
2025· article· en· PLOS Digital Health· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
The authors reply
Matthew O. Wiens, Niranjan Kissoon, Peter P. Moschovis, Jerome Kabakyenga
2017· letter· en· Pediatric Critical Care Medicine· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Euura groenlandica
2025· article· en· Zenodo (CERN European Organization for Nuclear Research)· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
The authors reply
Yuanyuan Wang, Bo Sun, Hongni Yue, Niranjan Kissoon
2015· letter· en· Pediatric Critical Care Medicine· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
bhklab/med-imagetools: v2.11.1
2025· other· en· Zenodo (CERN European Organization for Nuclear Research)· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
What's New in Shock, February 2019?
Lyle L. Moldawer
2019· editorial· en· Shock· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
The authors reply
Ryan Zarychanski, Anand Kumar
2015· letter· en· Critical Care Medicine· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
What's New in Shock? March 2016
Saeid Amini‐Nik, Marc G. Jeschke
2016· article· en· Shock· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
What’s New in Shock? December 2013
Saeid Amini‐Nik, Marc G. Jeschke
2013· editorial· en· Shock· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/j.ypdi.2013.01.054
2000· article· en· Time to knit· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
Fluid Therapy in Sepsis
Jonathan A. Silversides, Bram Rochwerg
2023· letter· en· CHEST Journal· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Systems biology approaches to understand sepsis
Olga M. Pena, Christopher D. Fjell, Disha Raj, David J. Lynn, Robert E. W. Hancock
2009· article· en· Cytokine· Medicine
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About