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
Cannabis and Cannabinoid 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.

5,249 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.
5,249 works in the cohort · of 4,299,418page 35 of 105

Labels cover 20 of 5,249 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 5,249 of 5,249 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
Therapeutic Use of Cannabis and Cannabinoids
Michael Hsu, Arya Shah, Ayana Jordan, Mark S. Gold, Kevin P. Hill
2025· article· en· JAMA· Medicine
machine prediction:candidate · noneconsensus · none
22
citations
affvenueno abstractunlabeled
Lithium and Marijuana Withdrawal
Rudy Bowen, Joann McIlwrick, Marilyn Baetz, Xia Zhang
2005· letter· en· The Canadian Journal of Psychiatry· Medicine
machine prediction:candidate · noneconsensus · none
21
citations
afffundunlabeled
Genetic basis of cannabis use: a systematic review
Alannah Hillmer, Caroul Chawar, Stephanie Sanger, Alessia D’Elia, Mehreen Butt, Raveena Kapoor +3 more
2021· review· en· BMC Medical Genomics· Medicine
machine prediction:candidate · noneconsensus · none
21
citations
aboutno affunlabeled
Cannabis sativa: A therapeutic medicinal plant-global marketing updates
Ravindra B. Malabadi, Simuzar S. Mammadova, Kiran P. Kolkar, Sadiya MR, Raju K. Chalannavar, Karen Viviana Castaño Coronado
2024· article· en· World Journal of Biology Pharmacy and Health Sciences· Medicine
machine prediction:candidate · noneconsensus · none
21
citations
affaboutunlabeled
Cannabis-impaired driving and Canadian youth
Jeffrey R. Brubacher, Herbert Chan, John A. Staples
2020· review· en· Paediatrics & Child Health· Medicine
machine prediction:candidate · noneconsensus · none
21
citations
afffundvenueunlabeled
Cannabidiol as an Adjunctive Treatment for Acute Bipolar Depression: A Pilot Study: Le cannabidiol comme traitement d'appoint de la dépression bipolaire aiguë : une étude pilote
Jairo Vinícius Pinto, José Alexandre S. Crippa, Keila Maria Mendes Ceresér, Miréia Vianna-Sulzbach, Érico de Moura Silveira Júnior, Gabriel Santana da Rosa +12 more
2023· article· en· The Canadian Journal of Psychiatry· Medicine
machine prediction:candidate · noneconsensus · none
21
citations
affaboutunlabeled
Marijuana and head and neck cancer: An epidemiological review
Michael Xie, Michael K. Gupta, Stuart Archibald, B. Stanley Jackson, James Young, Han Zhang
2018· review· en· Journal of Otolaryngology - Head and Neck Surgery· Medicine
machine prediction:candidate · noneconsensus · none
21
citations
← previousnext →

How this was built: Screen · Findings · About