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
Alcohol Consumption and Health Effects
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.

1,093 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.
1,093 works in the cohort · of 4,299,418page 20 of 22

Labels cover 7 of 1,093 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 1,093 of 1,093 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.

venueaboutno affunlabeled
Should alcohol carry a warning label?
Lauren Vogel
2023· article· en· Canadian Medical Association Journal· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
European burden of cancer in 2020 attributable to alcohol use
Harriet Rumgay, Kevin D. Shield, Hadrien Charvat, Pietro Ferrari, V.E.P.P. Lemmens, Jürgen Rehm +1 more
2021· article· en· European Journal of Public Health· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Response to Manthey, Carr, and Rehm
Russell C. Callaghan, Tim Stockwell, Adam Sherk, Stephen J. Kish
2019· letter· en· Drug and Alcohol Dependence· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Impaired Life Annuities
Geoffrey H Robb, Richard Willets
2006· book-chapter· en· Palgrave Macmillan UK eBooks· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
Hépatite alcoolique
S Jugnundan, William K. Silverstein, Cynthia Tsien
2023· article· en· Canadian Medical Association Journal· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/s0084-3970(09)79034-6
2000· article· en· Time to knit· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
Health Impact of Alcohol Use in the United States
Kevin D. Shield, Katherine M. Keyes, Priscilla Martínez, Adam J. Milam, Jürgen Rehm, Timothy S. Naimi
2024· preprint· en· Research Square· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
Protocol to study the role of alcohol consumption and alcohol control policy for economic development and health in membership countries of the Association of South East Asian Nations (ASEAN) 2000–2023: A modelling study
Jürgen Rehm, Sawitri Assanangkornchai, Gianna Gayle Herrera Amul, Pheak Chhoun, Noran Naqiah Hairi, Ahmed S. Hassan +23 more
2025· article· en· The International Journal of Alcohol and Drug Research· Medicine
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About