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
Topic
Communication and COVID-19 Impact
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.

120 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.
120 works in the cohort · of 4,299,418page 3 of 3

Labels cover 0 of 120 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 120 of 120 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

aboutno affunlabeled
©Ver {HD} Sonic: La película (2020) Película completa sul
2020· article· es· Zenodo (CERN European Organization for Nuclear Research)· Social Sciences
distilled prediction:candidate · metaepi_narrow+sts+scholarly_communication+insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
¿Quo vadis ciencia?
José Luis Díez Gil, Anna Estany, Carl Hoefer, Genoveva Martí, Manolo Martínez, Albert Solé +2 more
2016· book· es· Repositori UJI (Universitat Jaume I)· Social Sciences
distilled prediction:candidate · metaepi_narrow+sts+insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
Using Big Data and Network Theory to Inform Decision-making on COVID-19 in Bogotá
Alejandro Feged-Rivadeneira, Felipe González-Casabianca, Andrea Parra‐Salazar, Juana Salcedo-Ortiz, Federico Andrade‐Rivas, Pablo Cárdenas +15 more
2022· preprint· en· Research Square· Social Sciences
distilled prediction:candidate · metaresearch+sts+open_science+insufficient_payloadconsensus · none
0
citations
← previous

How this was built: Screen · Findings · About