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
Poisoning and overdose treatments
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.

656 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.
656 works in the cohort · of 4,299,418page 4 of 14

Labels cover 3 of 656 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 656 of 656 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
Gastric Lavage for Liquid Poisons
Robert Grierson, R GREEN, Daniel Sitar, Milton Tenenbein
2000· article· en· Annals of Emergency Medicine· Medicine
machine prediction:candidate · noneconsensus · none
22
citations
affaboutno abstractunlabeled
Antidote stocking in British Columbia hospitals
Sean K Gorman, Roy Purssell, Jeffrey R. Brubacher, Gillian A. Willis
2003· article· en· Canadian Journal of Emergency Medicine· Medicine
machine prediction:candidate · noneconsensus · none
20
citations
affno abstractunlabeled
Saint-Anthony's Fire
Stavroula Christopoulos, Andrew Szilagyi, Susan R. Kahn
2001· article· en· The Lancet· Medicine
machine prediction:candidate · noneconsensus · none
20
citations
affunlabeled
Who gets antidotes? choosing the chosen few
Nicholas A. Buckley, Andrew Dawson, David N. Juurlink, Geoffrey K. Isbister
2016· review· en· British Journal of Clinical Pharmacology· Medicine
machine prediction:candidate · noneconsensus · none
20
citations
affunlabeled
Dermal Exposure to Strychnine
Richard A. Greene, Robert Meatherall
2001· article· en· Journal of Analytical Toxicology· Medicine
machine prediction:candidate · noneconsensus · none
18
citations
affunlabeled
Metaxalone (Skelaxin(R))-Related Death
Justin L. Poklis, Jeri D. Ropero‐Miller, Diana Garside, Ruth E. Winecker
2004· article· en· Journal of Analytical Toxicology· Medicine
machine prediction:candidate · noneconsensus · none
17
citations
affno abstractunlabeled
Paroxetine Hydrochloride
David Germann, George Ma, Feixue Han, A. N. Tikhomirova
2013· review· en· Profiles of drug substances, excipients, and related methodology· Medicine
machine prediction:candidate · noneconsensus · none
17
citations
← previousnext →

How this was built: Screen · Findings · About