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
IPv6, Mobility, Handover, Networks, Security
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.

492 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.
492 works in the cohort · of 4,299,418page 5 of 10

Labels cover 0 of 492 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 492 of 492 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
SONET over Ethernet
Ammar Hamad, Michel Kadoch
2015· article· en· Engineering
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Facilitating 4G convergence using IMS
Ahmed Hasswa, Hossam S. Hassanein, Abd‐Elhamid M. Taha
2009· article· en· Engineering
machine prediction:candidate · noneconsensus · none
3
citations
afffundunlabeled
Parsing Millions of DNS Records Per Second
Jeroen Koekkoek, Daniel Lemire
2024· article· en· Software Practice and Experience· Engineering
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Multicast mobility in SIP layer
Xiuxia Yang, Anjali Agarwal
2005· article· en· Engineering
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Conceptual Foundations of User Preference Modeling
Zohair Chentouf, Ahmed Khoumsi, Soumaya Cherkaoui
2003· book-chapter· en· IFIP advances in information and communication technology· Engineering
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
End-to-End (E2E) Security Approach in WiMAX
Sasan Adibi, Gordon B. Agnew, Tom Tofigh
2008· book-chapter· en· IGI Global eBooks· Engineering
machine prediction:candidate · noneconsensus · none
2
citations
aboutno affunlabeled
Summarization on PKI/CA Technology
Chen Bo
2003· article· en· Ordnance Industry Automation· Engineering
machine prediction:candidate · noneconsensus · none
2
citations
← previousnext →

How this was built: Screen · Findings · About