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
Metabolomics and Mass Spectrometry Studies
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.

2,162 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.
2,162 works in the cohort · of 4,299,418page 22 of 44

Labels cover 2 of 2,162 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 2,162 of 2,162 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.

afffundaboutno abstractunlabeled
Toxicogenomic applications in risk assessment at Health Canada
Carole L. Yauk, Tara S. Barton‐Maclaren, Sherri E. Boucher, Julie Bourdon-Lacombe, Vinita Chauhan, Matthew Gagné +14 more
2019· article· en· Current Opinion in Toxicology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
11
citations
affunlabeled
Metabolomics in diabetes mellitus: clinical insight
Shereen M. Aleidi, Hiba Al Fahmawi, Afshan Masood, Anas M. Abdel Rahman
2023· article· en· Expert Review of Proteomics· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
11
citations
affunlabeled
Pharmacometabolomics: A New Horizon in Personalized Medicine
Abdul‐Hamid Emwas, Kacper Szczepski, Ryan T. McKay, Hiba Nabil Asfour, Chung‐ke Chang, Joanna Izabela Lachowicz +1 more
2021· book-chapter· en· IntechOpen eBooks· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
10
citations
affunlabeled
First-trimester metabolomic prediction of stillbirth
Ray Bahado‐Singh, Argyro Syngelaki, Rupsari Mandal, Liang Li, Trent C. Bjorndahl, Nan Wang +8 more
2018· article· en· The Journal of Maternal-Fetal & Neonatal Medicine· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
10
citations
affno abstractunlabeled
Fundamentals of environmental metabolomics
Vera Kovacevic, Myrna J. Simpson
2020· book-chapter· en· Elsevier eBooks· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
10
citations

How this was built: Screen · Findings · About