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
Year range
Sort
Language
Type
Field
Venue
Topic
Text and Document Classification Technologies
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.

374 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.
374 works in the cohort · of 4,299,418page 2 of 8

Labels cover 2 of 374 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 374 of 374 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affno abstractunlabeled
A Fast SVM Training Algorithm
2002· book-chapter· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
23
citations
afffundno abstractunlabeled
A latent Beta-Liouville allocation model
2015· article· en· Expert Systems with Applications· Computer Science
distilled prediction:candidate · noneconsensus · none
21
citations
fundno affunlabeled
MLCM: Multi-Label Confusion Matrix
2023· preprint· en· Computer Science
distilled prediction:candidate · insufficient_payloadconsensus · none
18
citations
affno abstractunlabeled
On poem recognition
2006· article· en· Pattern Analysis and Applications· Computer Science
distilled prediction:candidate · noneconsensus · none
15
citations

How this was built: Screen · Findings · About