MétaCan
ENFR
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.

Export CSVExport JSONAPI query

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
Airway Management and Intubation Techniques
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.

1,594 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.
1,594 works in the cohort · of 4,299,418page 31 of 32

Labels cover 8 of 1,594 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 1,594 of 1,594 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
In reply
Brian H. Rowe, Carlos A. Camargo
2001· article· en· Annals of Emergency Medicine· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Extubation of a difficult airway
Geoff Bellingham, Chris Harle
2006· article· en· Canadian Journal of Anesthesia/Journal canadien d anesthésie· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Update on ENT anaesthesia in children
Zoë Brown, Neil K. Chadha
2021· article· en· Anaesthesia & intensive care medicine· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Reply
David T. Wong, Glenn McGuire
2003· letter· fr· Canadian Journal of Anesthesia/Journal canadien d anesthésie· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Glidescope vs direct laryngoscopy in nasotrachela intubation
Philip M. Jones, Timothy P. Turkstra, Kevin Armstrong, Paidrig Armstrong, Richard A. Cherry, Christopher Harle +1 more
2008· article· en· Canadian Journal of Anesthesia/Journal canadien d anesthésie· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Early Endotracheal Tube Insertion With the GlideScope
Timothy P. Turkstra, Fiorenzo Cusano, Jason A. Fridfinnson, Pravin Batohi, Maxim Rachinsky
2016· article· en· Survey of Anesthesiology· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Extension of a shortened endotracheal tube
David Neilipovitz, Ian Zunder, Giuseppe Pagliarello
2007· letter· fr· Canadian Journal of Anesthesia/Journal canadien d anesthésie· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
The Obstetric Airway
Molly Douglas, Roanne Preston
2012· article· en· Obstetric Anesthesia Digest· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Anticipated difficult intubation
Ibrahim Abu‐Shahwan, Khalid Chowdary, Christine Lamontagne
2007· article· en· Canadian Journal of Anesthesia/Journal canadien d anesthésie· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Energizing trials in thoracic surgery
Waël C. Hanna
2018· article· en· Video-Assisted Thoracic Surgery· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Blind nasal intubation - how to teach a dying art?
J. Zhang, Austin Lamb, Orlando Hung, Christopher Hung, H. David
2014· article· en· European Journal of Anaesthesiology· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
3.5-Volt laryngoscope charger problem
Greg Dobson, Dan Cashen, Paul Brousseau
2005· letter· en· Canadian Journal of Anesthesia/Journal canadien d anesthésie· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
fundno affunlabeled
A reply
Wolfgang Oczenski, Robert D. Fitzgerald
2000· article· en· Anaesthesia· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
10.51847/E3k3f6n
2000· article· en· Time to knit· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
Difficult and Failed Intubation
Dolores M. McKeen, Ronald B. George, Colleen O’Connell, Victoria M. Allen, Mark H. Yazer, Margaret V. Wilson +1 more
2012· article· en· Obstetric Anesthesia Digest· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affaboutno abstractunlabeled
COVID-19 intubation teams—the Saskatoon experience
Andy Liu, Jennifer O’Brien, Eugene Choo
2021· letter· en· Canadian Journal of Anesthesia/Journal canadien d anesthésie· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
WHAT PATIENTS REMEMBER AFTER PATCH TESTING
Joseph Genebriera, Leigh Ann Scalf, Mark D.P. Davis
2006· article· en· Dermatitis· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
← previousnext →

How this was built: Screen · Findings · About