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
Traffic and Road Safety
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.

2,817 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.
2,817 works in the cohort · of 4,299,418page 30 of 57

Labels cover 3 of 2,817 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 2,817 of 2,817 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
Trends in alcohol-impaired driving in Canada
Dillon Mayhew, Ward Vanlaar, Robyn Robertson, Kyla Marcoux, Sarah Brown, Paul Boase
2013· article· en· International Conference on Alcohol, Drugs and Traffic Safety (T2013), 20th, 2013, Brisbane, Queensland, Australia· Engineering
machine prediction:candidate · noneconsensus · none
5
citations
affunlabeled
New Hours-of-Service Rules
Virginia Dick, James W. Hendrix, R R Knipling
2006· article· en· Transportation Research Record Journal of the Transportation Research Board· Engineering
machine prediction:candidate · noneconsensus · none
5
citations
affno abstractunlabeled
Road safety, alcohol and public policy
Patrick McCarthy, Richard Tay
2005· article· en· Transportation Research Part E Logistics and Transportation Review· Engineering
machine prediction:candidate · noneconsensus · none
5
citations
aboutno affunlabeled
Politics can be deadly
J Langley, Kypros Kypri
2006· article· en· Injury Prevention· Engineering
machine prediction:candidate · noneconsensus · none
5
citations
affunlabeled
Is it safe in numbers?
Nicola Christie, Ian Pike
2015· article· en· Injury Prevention· Engineering
machine prediction:candidate · noneconsensus · none
5
citations
affunlabeled
Validity of Steiner’s Automobile Anxiety Inventory
Zack Z. Cernovsky, Milad Fattahi, Larry C. Litman, Silvia Tenenbaum, Beta Leung, Vitalina Nosonova +2 more
2021· article· en· European Journal of Medical and Health Sciences· Engineering
machine prediction:candidate · noneconsensus · none
5
citations

How this was built: Screen · Findings · About