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
Blockchain Technology Applications and 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.

2,298 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.
2,298 works in the cohort · of 4,299,418page 6 of 46

Labels cover 6 of 2,298 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 2,298 of 2,298 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affunlabeled
Social-Chain
Zheng Yan, Li Peng, Wei Feng, Laurence T. Yang
2021· article· en· ACM Transactions on Internet Technology· Computer Science
distilled prediction:candidate · noneconsensus · none
50
citations
venueno affunlabeled
Contagion Effect in Cryptocurrency Market
Paulo Ferreira, Éder Johnson de Area Leão Pereira
2019· article· en· Journal of risk and financial management· Computer Science
distilled prediction:candidate · noneconsensus · none
49
citations
venueno affno abstractunlabeled
Artificial Intelligence-Powered Blockchains for Cardiovascular Medicine
Chayakrit Krittanawong, Mehmet Aydar, Hafeez Ul Hassan Virk, Anirudh Kumar, Scott Kaplin, Lucca Guimaraes +2 more
2021· review· en· Canadian Journal of Cardiology· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
49
citations
affunlabeled
Pluto: Exposing Vulnerabilities in Inter-Contract Scenarios
Fuchen Ma, Zhenyang Xu, Meng Ren, Zijing Yin, Yuanliang Chen, Lei Qiao +4 more
2021· article· en· IEEE Transactions on Software Engineering· Computer Science
distilled prediction:candidate · noneconsensus · none
47
citations
affunlabeled
Blockchain technology
Scott Ruoti, Ben Kaiser, Arkady Yerukhimovich, Jeremy Clark, Robert K. Cunningham
2019· article· en· Communications of the ACM· Computer Science
distilled prediction:candidate · open_scienceconsensus · open_science
47
citations
afffundunlabeled
Blockchain-empowered Data-driven Networks
Xi Li, Zehua Wang, Victor C. M. Leung, Hong Ji, Yiming Liu, Heli Zhang
2021· review· en· ACM Computing Surveys· Computer Science
distilled prediction:candidate · metaepi_narrow+open_scienceconsensus · open_science
42
citations
affno abstractunlabeled
SoK: Transparent Dishonesty: Front-Running Attacks on Blockchain
Shayan Eskandari, Seyedehmahsa Moosavi, Jeremy Clark
2020· preprint· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · metaepi_narrow+open_science+research_integrityconsensus · none
42
citations
venueno affunlabeled
Fantastic Beasts: Blockchain Based Banking
Dulani Jayasuriya Daluwathumullagamage, Alexandra Sims
2021· article· en· Journal of risk and financial management· Computer Science
distilled prediction:candidate · noneconsensus · none
41
citations

How this was built: Screen · Findings · About