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
Software System Performance and Reliability
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.

1,099 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.
1,099 works in the cohort · of 4,299,418page 9 of 22

Labels cover 1 of 1,099 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 1,099 of 1,099 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
Execution mining
Geoffrey Lefebvre, Brendan Cully, Christopher C. D. Head, Mark Spear, N.C. Hutchinson, Mike Feeley +1 more
2012· article· en· ACM SIGPLAN Notices· Computer Science
machine prediction:candidate · noneconsensus · none
5
citations
affvenueunlabeled
The scalability of AspectJ
Arjun Singh, Gregor Kiczales
2007· article· en· Proceedings of CASCON· Computer Science
machine prediction:candidate · noneconsensus · none
5
citations
affno abstractunlabeled
A unit test approach for database schema evolution
Katarina Grolinger, Miriam A. M. Capretz
2010· article· en· Information and Software Technology· Computer Science
machine prediction:candidate · noneconsensus · none
5
citations
aboutno affunlabeled
SOCLe: Integrated Design of Software Applications and Security
Frédéric Painchaud, Damien Azambre, Matthieu Bergeron, John Mullins, Raveca M. Oarga
2005· article· en· PolyPublie (École Polytechnique de Montréal)· Computer Science
machine prediction:candidate · noneconsensus · none
5
citations
affunlabeled
EarlyBird
Seyed Hossein Mortazavi, Ali Munir, Mahmoud Bahnasy, Haiwei Dong, Shimiao Wang, Yashar Ganjali
2022· article· en· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
5
citations
fundno affunlabeled
OpenTera: A Framework for TelehealthApplications
Dominic Létourneau, Simon Brière, Marc-Antoine Maheux, Cédric Godin, Philippe Warren, Gabriel Lauzier +6 more
2023· article· en· The Journal of Open Source Software· Computer Science
machine prediction:candidate · noneconsensus · none
4
citations
affunlabeled
UML-based performance modeling of distributed software systems
Issa Traoré, Isaac Woungang, Ahmed Awad El Sayed Ahmed, Mohammad S. Obaidat
2010· article· en· International Symposium on Performance Evaluation of Computer and Telecommunication Systems· Computer Science
machine prediction:candidate · noneconsensus · none
4
citations
affunlabeled
VM processes state detection by hypervisor tracing
Hani Nemati, Michel Dagenais
2018· article· en· 2018 Annual IEEE International Systems Conference (SysCon)· Computer Science
machine prediction:candidate · noneconsensus · none
4
citations

How this was built: Screen · Findings · About