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
Peer-to-Peer Network Technologies
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.

880 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.
880 works in the cohort · of 4,299,418page 8 of 18

Labels cover 1 of 880 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 880 of 880 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affunlabeled
Automating Overlay Networks Management
Ibrahim Al‐Oqily, A. Karmouch
2007· article· en· Proceedings· Computer Science
distilled prediction:candidate · noneconsensus · none
6
citations
affunlabeled
Efficient multiple-keyword search in DHT-based decentralized systems
S. Sivaraja, Murali Thiyagarajah, T. Piranavam, Chung–Horng Lung, Shikharesh Majumdar
2008· article· en· International Symposium on Performance Evaluation of Computer and Telecommunication Systems· Computer Science
distilled prediction:candidate · noneconsensus · none
6
citations
affunlabeled
A probabilistic analysis of Kademlia networks
Luc Devroye
2013· book-chapter· en· Open MIND· Computer Science
distilled prediction:candidate · metaepi_narrow+open_science+insufficient_payloadconsensus · insufficient_payload
6
citations
affunlabeled
A quality of service management testbed
Michael Katchabaw, Hanan Lutfiyya, Michael Bauer
2002· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
5
citations
affno abstractunlabeled
Peer-to-Peer Data Management
Karl Aberer
2011· article· en· Synthesis lectures on data management· Computer Science
distilled prediction:candidate · metaepi_narrow+open_science+insufficient_payloadconsensus · open_science
5
citations
affunlabeled
TwitApp
Wei Li, Tovi Grossman, Justin Matejka, George Fitzmaurice
2011· article· en· Computer Science
distilled prediction:candidate · insufficient_payloadconsensus · none
5
citations
affunlabeled
Structured Peer-to-Peer Control Plane
Khashayar Khavari, Nadeem Abji, Ramy Farha, Chuen Liang, Ali Tizghadam, Farid Fadaie +1 more
2006· article· en· 2006 IEEE International Conference on Communications· Computer Science
distilled prediction:candidate · metaepi_narrow+open_science+insufficient_payloadconsensus · none
5
citations
affunlabeled
Can P2P help the cloud go green?
Christopher Jarabek, Mea Wang
2011· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
5
citations
affno abstractunlabeled
Towards Semantically Enhanced Peer-to-Peer File-Sharing
Alan Davoust, Babak Esfandiari
2008· book-chapter· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · metaepi_narrow+scholarly_communication+open_scienceconsensus · open_science
5
citations

How this was built: Screen · Findings · About