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
The Lancet
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.

2,654 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.
2,654 works in the cohort · of 4,299,418page 22 of 54

Labels cover 27 of 2,654 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 2,654 of 2,654 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
Care of non-communicable diseases in emergencies
Slim Slama, Hyojeong Kim, Gojka Roglić, Philippa Boulle, Heiko Hering, Cherian Varghese +2 more
2016· article· en· The Lancet· Environmental Science
machine prediction:candidate · noneconsensus · none
136
citations
affno abstractunlabeled
Switching to once-weekly insulin icodec versus once-daily insulin glargine U100 in individuals with basal-bolus insulin-treated type 2 diabetes (ONWARDS 4): a phase 3a, randomised, open-label, multicentre, treat-to-target, non-inferiority trial
Chantal Mathieu, Björg Ásbjörnsdóttir, Harpreet S. Bajaj, Wendy Lane, Ana Laura de Souza Almeida Matos, Sreenivasa Murthy +2 more
2023· article· en· The Lancet· Medicine
machine prediction:candidate · noneconsensus · none
135
citations
affno abstractunlabeled
Tuberculosis
Anete Trajman, Jonathon R. Campbell, Tenzin Kunor, Rovina Ruslami, Farhana Amanullah, Marcel A. Behr +1 more
2025· review· en· The Lancet· Medicine
machine prediction:candidate · noneconsensus · none
130
citations
affno abstractunlabeled
Industry-sponsored clinical research: a double-edged sword
Julio Montaner, Michael V. O’Shaughnessy, Martin T. Schechter
2001· review· en· The Lancet· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · metaresearchconsensus · none
128
citations
affno abstractunlabeled
Controversies in faith and health care
Andrew Tomkins, Jean Duff, Atallah Fitzgibbon, Azza Karam, Edward J. Mills, Keith Munnings +5 more
2015· review· en· The Lancet· Social Sciences
machine prediction:candidate · noneconsensus · none
124
citations
affno abstractunlabeled
Amnesic disorders
Hans J. Markowitsch, Angelica Staniloiu
2012· review· en· The Lancet· Neuroscience
machine prediction:candidate · noneconsensus · none
123
citations

How this was built: Screen · Findings · About