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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.

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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.

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Software Testing and Debugging Techniques
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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.

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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 ·
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20002025
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Machine labels · sparse coverage
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
996 works in the cohort · of 4,299,418page 10 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.

affno abstractunlabeled
Static slicing of Use Case Maps requirements models
Taha Binalialhag, Jameleddine Hassine, Daniel Amyot
2018· article· en· Software & Systems Modeling· Computer Science
machine prediction:candidate · noneconsensus · none
6
citations
afffundunlabeled
Ad Hoc Syntax-Guided Program Reduction
Jia Le Tian, Mengxiao Zhang, Zhenyang Xu, Yongqiang Tian, Yiwen Dong, C. P. Sun
2023· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
6
citations
affunlabeled
VISUFLOW
Lisa Nguyen Quang, Stefan Krüger, Patrick L. Hill, Karim Ali, Eric Bodden
2018· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
6
citations
affno abstractunlabeled
Test Suite Reduction Based on Dependence Analysis
Guy-Vincent Jourdan, Panitee Ritthiruangdech, Hasan Ural
2006· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
6
citations
affunlabeled
Search-carrying code
Ali Taleghani, Joanne M. Atlee
2010· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
6
citations
afffundunlabeled
Traceability in Acceptance Testing
Jean‐Pierre Corriveau
2013· article· en· Journal of Software Engineering and Applications· Computer Science
machine prediction:candidate · noneconsensus · none
6
citations
aboutno affunlabeled
Object-Oriented Testing
Paul Strooper
2005· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
6
citations
afffundno abstractunlabeled
A calculus of program adaptation and its applications
Rahma Ben Ayed, Jules Desharnais, Marc Frappier, Ali Mili
2000· article· en· Science of Computer Programming· Computer Science
machine prediction:candidate · noneconsensus · none
6
citations
affunlabeled
Broad-spectrum studies of log file analysis
James H. Andrews, Ying–Jun Angela Zhang
2002· article· en· Proceedings of the 2000 International Conference on Software Engineering. ICSE 2000 the New Millennium· Computer Science
machine prediction:candidate · noneconsensus · none
5
citations
afffundunlabeled
Boosting Grey-box Fuzzing for Connected Autonomous Vehicle Systems
Lama J. Moukahal, Mohammad Zulkernine, Martin Soukup
2021· article· en· 2021 IEEE 21st International Conference on Software Quality, Reliability and Security Companion (QRS-C)· Computer Science
machine prediction:candidate · noneconsensus · none
5
citations
affunlabeled
Verifying security patches
Jonathan Gallagher, Robin Gonzalez, Michael E. Locasto
2014· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
5
citations
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