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
Topic
IoT and Edge/Fog Computing
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.

1,711 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.
1,711 works in the cohort · of 4,299,418page 1 of 35

Labels cover 5 of 1,711 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 1,711 of 1,711 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.

affno abstractunlabeled
Edge computing: A survey
Wazir Zada Khan, Ejaz Ahmed, Saqib Hakak, Ibrar Yaqoob, Arif Ahmed
2019· article· en· Future Generation Computer Systems· Computer Science
machine prediction:candidate · noneconsensus · none
1,083
citations
afffundunlabeled
Green Internet of Things for Smart World
Chunsheng Zhu, Victor C. M. Leung, Lei Shu, Edith C.‐H. Ngai
2015· article· en· IEEE Access· Computer Science
machine prediction:candidate · noneconsensus · none
491
citations
afffundunlabeled
Multi-Access Edge Computing: A Survey
Abderrahime Filali, Amine Abouaomar, Soumaya Cherkaoui, Abdellatif Kobbane, Mohsen Guizani
2020· article· en· IEEE Access· Computer Science
machine prediction:candidate · noneconsensus · none
210
citations
afffundunlabeled
Internet of Things (IoT) in 5G Wireless Communications
Waleed Ejaz, Alagan Anpalagan, Muhammad Ali Imran, Minho Jo, Muhammad Naeem, Saad Qaisar +1 more
2016· article· en· IEEE Access· Computer Science
machine prediction:candidate · noneconsensus · none
191
citations
venueno affunlabeled
Developing IoT Based Smart Health Monitoring Systems: A Review
Ashikur Rahaman, Md Asadul Islam, Md. Azharul Islam, Muhammad Sheikh Sadi, Sheikh Nooruddin
2019· review· en· Revue d intelligence artificielle· Computer Science
machine prediction:candidate · noneconsensus · none
183
citations

How this was built: Screen · Findings · About