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
Revue d intelligence artificielle
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.

717 results · 1 filter active ·
Results by year
20012025
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.
717 works in the cohort · of 4,299,418page 11 of 15

Labels cover 2 of 717 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 717 of 717 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.

venueno affunlabeled
Median Filter for Denoising MRI
Chalghoumi Sabrine, Abir Smiti
2022· article· fr· Revue d intelligence artificielle· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
Langage de coordination multi-agent sécurisé
Mahdi Zargayouna, Flavien Balbo
2013· article· fr· Revue d intelligence artificielle· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
Evaluation of Lie Detection Techniques: Overview
Zena Tarik Mohammed, Ielaf O. Abdul Majjed Dahl
2024· article· fr· Revue d intelligence artificielle· Psychology
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Jeux et compétition en IA.
Jean-Marc Labat
2001· article· fr· Revue d intelligence artificielle· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Compétitions de planification
Stéphane Cambon, Solange Lemai, Romain Trinquart
2002· article· fr· Revue d intelligence artificielle· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Discrimination par modèles additifs parcimonieux
Marta Avalos, Yves Grandvalet, Christophe Ambroise
2005· article· fr· Revue d intelligence artificielle· Mathematics
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About