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 46 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.

affaboutunlabeled
The Intensivist Effect
André Carlos Kajdacsy-Balla Amaral
2015· letter· en· Critical Care Medicine· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
The authors reply
John C. Lin, Philip C. Spinella, Julie C. Fitzgerald, Marisa Tucci, Jenny L. Bush, Vinay Nadkarni +2 more
2017· letter· en· Pediatric Critical Care Medicine· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affaboutno abstractunlabeled
Critical Care Canada Forum 2021 Abstracts
2022· article· fr· Canadian Journal of Anesthesia/Journal canadien d anesthésie· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/j.yccm.2013.02.006
2000· article· en· Time to knit· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affaboutunlabeled
ABSTRACT 255
Kusum Menon, Dayre McNally, Margaret L. Lawson, Karen Choong, Tim Ramsay, Hector R. Wong
2014· article· en· Pediatric Critical Care Medicine· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
The weak eye
Amy Louis-Bayliss, Brian Deady
2011· article· pl· Canadian Journal of Emergency Medicine· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/s0765-2046(98)80162-7
2000· article· en· Time to knit· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affno abstractunlabeled
10.1016/j.yccm.2013.02.032
2000· article· en· Time to knit· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affno abstractunlabeled
10.1016/s1283-0828(19)42124-8
2000· article· en· Time to knit· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations

How this was built: Screen · Findings · About