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
Obstructive Sleep Apnea Research
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.

3,473 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.
3,473 works in the cohort · of 4,299,418page 46 of 70

Labels cover 10 of 3,473 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 3,473 of 3,473 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.

affvenueunlabeled
Cannabinoid Use and Obstructive Sleep Apnea: A Retrospective Cohort Study
Matthew Veitch, Sean Jairam, Patrick Gurges, Elliott Cohen, Tetyana Kendzerska, Brian J. Murray +1 more
2024· article· en· Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques· Medicine
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Dentistry and Obstructive Sleep Apnea
Carlos Flores‐Mir
2016· letter· en· Journal of Clinical Sleep Medicine· Medicine
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Decision Rules for Diagnosis of Sleep Apnea
Keir Lewis
2004· letter· en· American Journal of Respiratory and Critical Care Medicine· Medicine
machine prediction:candidate · noneconsensus · none
3
citations
aboutno affunlabeled
Evaluation of arterial stiffness and quality of life in the treatment of moderate to severe obstructive sleep apnea with Continuous Positive Airway Pressure or Mandibular Advancement Appliance: a cross-sectional study
Maria de Lourdes Rabelo Guimarães, Olivia Mendonça Nunes, José Felippe Pinho da Silva, Maria da Glória Rodrigues‐Machado, Bruno Almeida Rezende
2024· article· en· BMC Cardiovascular Disorders· Medicine
machine prediction:candidate · noneconsensus · none
3
citations
afffundno abstractunlabeled
Preoperative Evaluation
Yamini Subramani, Mahesh Nagappa, Jean Wong, Talha Mubashir, Frances Chung
2018· review· en· Anesthesiology Clinics· Medicine
machine prediction:candidate · noneconsensus · none
3
citations
venueno affno abstractunlabeled
10.1016/s0246-0351(15)54163-9
2000· article· en· Time to knit· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
3
citations
affno abstractunlabeled
Sleep-Disordered Breathing
Don D. Sin
2003· letter· en· CHEST Journal· Medicine
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Obesity, Where Is It Driving Us?
Martin Lavallière, Grant Handrigan, Normand Teasdale, Philippe Corbeil
2012· article· en· Journal of Transportation Safety & Security· Medicine
machine prediction:candidate · noneconsensus · none
3
citations
← previousnext →

How this was built: Screen · Findings · About