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 Testing and Debugging Techniques
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.

996 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.
996 works in the cohort · of 4,299,418page 15 of 20

Labels cover 2 of 996 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 996 of 996 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
The Havoc Paradox in Generator-Based Fuzzing
Ao Li, Madonna Huang, Vasudev Vikram, Caroline Lemieux, Rohan Padhye
2025· article· en· ACM Transactions on Software Engineering and Methodology· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Automatic Repair for Network Programs
Lei Shi, Yuepeng Wang, Rajeev Alur, Boon Thau Loo
2022· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Exploiting exceptions
Michael Zastre, R. Nigel Horspool
2001· article· en· Software Practice and Experience· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Towards On-the-Fly Code Performance Profiling
Xing Hu, W.C. Lin, Zhuang Liu, Michael Ling, Xin Xia, David Lo
2025· article· en· ACM Transactions on Software Engineering and Methodology· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Impact Analysis via Reachability and Alias Analysis
Wen Chen, Alan Wassyng, Tom Maibaum
2014· book-chapter· en· Lecture notes in business information processing· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Towards Specification-Based Web Testing
Jessica Chen, Steve Chovanec
2002· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
On a labeling problem in graphs
R. Chandrasekaran, Milind Dawande, Mehmet Baysan
2011· article· en· Discrete Applied Mathematics· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Diagnosing new faults using mutants and prior faults.
Syed Shariyar Murtaza, Nazim H. Madhavji, Mechelle Gittens, Zude Li
2011· article· en· International Conference on Software Engineering· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affno abstractunlabeled
Humboldt Heroes
Matthias Werner, Helmut Myritz, Uwe Düffert, Martin Lötzsch, Hans-Dieter Burkhard
2001· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
afffundunlabeled
A new control flow representation
P.N. Robillard, Mario Simoneau
2002· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
JTeXpert at the SBST 2017 tool competition
Abdelilah Sakti, Gilles Pesant, Yann‐Gaël Guéhéneuc
2017· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About