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
Seminars in Liver Disease
Topic
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.

44 results · 1 filter active ·
Results by year
20002024
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.
44 works in the cohort · of 4,299,418page 1 of 1

Labels cover 0 of 44 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 44 of 44 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 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
Cirrhotic Cardiomyopathy
Saleh A. Alqahtani, Tamer Fouad, Samuel Lee
2008· review· en· Seminars in Liver Disease· Medicine
machine prediction:candidate · noneconsensus · none
145
citations
affunlabeled
Nonalcoholic Fatty Liver Disease: Current Global Burden
Mohamed El‐Kassas, Joaquín Cabezas, Paula Iruzubieta, Ming‐Hua Zheng, Juan Pablo Arab, Abeer Awad
2022· review· en· Seminars in Liver Disease· Medicine
machine prediction:candidate · noneconsensus · none
66
citations
fundno affunlabeled
New Animal Models for Autoimmune Hepatitis
Urs Christen, Edith Hintermann, Elmar Jaeckel
2009· review· en· Seminars in Liver Disease· Medicine
machine prediction:candidate · noneconsensus · none
25
citations
affunlabeled
Immunosuppression in Liver Transplantation
Mark S. Cattral, Leslie Lilly, Gary Levy
2000· review· en· Seminars in Liver Disease· Medicine
machine prediction:candidate · noneconsensus · none
21
citations
affunlabeled
HCC Risk Scores: Useful or Not?
Morris Sherman
2017· review· en· Seminars in Liver Disease· Medicine
machine prediction:candidate · noneconsensus · none
16
citations
afffundunlabeled
Unraveling the Complexity of Liver Disease One Cell at a Time
Gary D. Bader, Ian D. McGilvray, Sonya A. MacParland, Jawairia Atif, Cornelia Thoeni
2022· review· en· Seminars in Liver Disease· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
11
citations
affunlabeled
Advancements in MELD Score and Its Impact on Hepatology
David Hudson, Gurpreet Malhi, Angelica Rivas, Tamoor Afzaal, Luis Antonio Díaz, Mohammad Qasim Khan +1 more
2024· review· en· Seminars in Liver Disease· Medicine
machine prediction:candidate · noneconsensus · none
7
citations
affunlabeled
COVID-19 and Liver Disease: An Evolving Landscape
Kai Zhu, Olivia Tsai, Daljeet Chahal, Trana Hussaini, Eric M. Yoshida
2023· review· en· Seminars in Liver Disease· Medicine
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About