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
Drug-Induced Hepatotoxicity and Protection
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.

631 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.
631 works in the cohort · of 4,299,418page 1 of 13

Labels cover 3 of 631 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 631 of 631 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.

fundno affno abstractunlabeled
Acute liver failure
R. Todd Stravitz, William M. Lee
2019· review· en· The Lancet· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · noneconsensus · none
809
citations
affunlabeled
Idiosyncratic Drug Reactions: Current Understanding
Jack Uetrecht
2006· review· en· The Annual Review of Pharmacology and Toxicology· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · noneconsensus · none
299
citations
afffundunlabeled
Mechanisms of Immune-Mediated Liver Injury
David Adams, Cynthia Ju, Shashi K. Ramaiah, Jack Uetrecht, Hartmut Jaeschke
2010· review· en· Toxicological Sciences· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · noneconsensus · none
298
citations
fundno affunlabeled
Acute Liver Failure in Children
Robert H. Squires
2008· review· en· Seminars in Liver Disease· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · noneconsensus · none
157
citations
affunlabeled
Pathophysiology of Acute Liver Failure
Victor Dong, Rahul Nanchal, Constantine Karvellas
2019· review· en· Nutrition in Clinical Practice· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · noneconsensus · none
148
citations
aboutno affunlabeled
Hepatotoxicity Due to Hydroxycut: A Case Series
Tse–Ling Fong, Karl C. Klontz, Alejandro Cañas-Coto, Steven Casper, Francisco Durazo, Timothy J. Davern +3 more
2010· article· en· The American Journal of Gastroenterology· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · noneconsensus · none
148
citations
affunlabeled
Risks of herbal medicinal products
E Ernst
2004· review· en· Pharmacoepidemiology and Drug Safety· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · noneconsensus · none
129
citations
afffundunlabeled
Future directions in acute liver failure
R. Todd Stravitz, Robert J. Fontana, Constantine Karvellas, Valerie Durkalski, Brendan M. McGuire, Jody A. Rule +2 more
2023· review· en· Hepatology· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · noneconsensus · none
123
citations

How this was built: Screen · Findings · About