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
Future Generation Computer Systems
Topic
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.

121 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.
121 works in the cohort · of 4,299,418page 1 of 3

Labels cover 1 of 121 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 121 of 121 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
– Ant System
Thomas Stützle, Holger H. Hoos
2000· article· en· Future Generation Computer Systems· Computer Science
machine prediction:candidate · noneconsensus · none
2,698
citations
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
affno abstractunlabeled
Research challenges in nextgen service orchestration
Luis M. Vaquero, Félix Cuadrado, Yehia Elkhatib, Jorge Bernal Bernabé, Satish Narayana Srirama, Mohamed Faten Zhani
2018· article· en· Future Generation Computer Systems· Computer Science
machine prediction:candidate · noneconsensus · none
89
citations
fundno affno abstractunlabeled
Perspectives on grid computing
Uwe Schwiegelshohn, Rosa M. Badía, Marian Bubak, Marco Danelutto, Schahram Dustdar, Fabrizio Gagliardi +15 more
2010· article· en· Future Generation Computer Systems· Computer Science
machine prediction:candidate · noneconsensus · none
87
citations
affno abstractunlabeled
Using RDF to describe networks
Freek Dijkstra, F. Travostino, H.M.A. Andree, C.T.A.M. de Laat
2006· article· en· Future Generation Computer Systems· Computer Science
machine prediction:candidate · noneconsensus · none
67
citations
affno abstractunlabeled
Modular and generic IoT management on the cloud
Konstantinos Douzis, Stelios Sotiriadis, Euripides G. M. Petrakis, Cristiana Amza
2016· article· en· Future Generation Computer Systems· Computer Science
machine prediction:candidate · noneconsensus · none
44
citations
afffundaboutno abstractunlabeled
GridX1: A Canadian computational grid
Arun Agarwal, Mohamed Ben Ahmed, Avery Berman, B. Caron, André Charbonneau, Denice Deatrich +21 more
2007· article· en· Future Generation Computer Systems· Computer Science
machine prediction:candidate · noneconsensus · none
31
citations
next →

How this was built: Screen · Findings · About