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
Military Strategy and Technology
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.

144 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.
144 works in the cohort · of 4,299,418page 1 of 3

Labels cover 0 of 144 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 144 of 144 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.

affunlabeled
Assessing temporal support for dynamic decision making in C2
R. J. ROUSSEAU, Sébastien Tremblay, Daniel Lafond, François Vachon, R. Breton
2007· article· en· Proceedings of the Human Factors and Ergonomics Society Annual Meeting· Engineering
machine prediction:candidate · noneconsensus · none
14
citations
affaboutunlabeled
Architecture for autonomy
Gregory S. Broten, Simon P. Monckton, Jack Collier, J. Giesbrecht
2006· article· en· Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE· Engineering
machine prediction:candidate · noneconsensus · none
10
citations
affunlabeled
Actionable Intelligence for the Warfighter
Nicholas Morizio, S. Gigli
2005· article· en· Defense Technical Information Center (DTIC)· Engineering
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
Military Report From the Front
Dariusz Wołodźko
2023· article· en· The Journal of Rheumatology· Engineering
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
NATO Task Group on Information Fusion
2004· article· en· Defense Technical Information Center (DTIC)· Engineering
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
LAPOP: Uruguay 2010
2020· dataset· en· Borealis· Engineering
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Systems
Octavian Iordache
2024· book-chapter· en· Studies in systems, decision and control· Engineering
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
MCE Geo Hub, Lightning Talk (7 min)
2021· article· en· Scholarship@Western (Western University)· Engineering
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
next →

How this was built: Screen · Findings · About