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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.

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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ACM Transactions on Software Engineering and Methodology
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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.

affaffiliation
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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.

200 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
200 works in the cohort · of 4,299,418page 3 of 4

Labels cover 1 of 200 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 200 of 200 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

afffundunlabeled
Bash in the Wild: Language Usage, Code Smells, and Bugs
Yiwen Dong, Zheyang Li, Yongqiang Tian, C. P. Sun, Michael W. Godfrey, Meiyappan Nagappan
2022· article· en· ACM Transactions on Software Engineering and Methodology· Computer Science
distilled prediction:candidate · noneconsensus · none
10
citations
affunlabeled
An Empirical Study on GitHub Pull Requests’ Reactions
Mohamed Amine Batoun, Ka Lai Yung, Yuan Tian, Mohammed Sayagh
2023· article· en· ACM Transactions on Software Engineering and Methodology· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
10
citations
affunlabeled
An Empirical Study of Testing Machine Learning in the Wild
Moses Openja, Foutse Khomh, Armstrong Foundjem, Zhen Ming Jiang, Mouna Abidi, Ahmed E. Hassan
2024· article· en· ACM Transactions on Software Engineering and Methodology· Computer Science
distilled prediction:candidate · noneconsensus · none
9
citations
afffundunlabeled
Stress Testing Control Loops in Cyber-physical Systems
Claudio Mandrioli, Seung Yeob Shin, Martina Maggio, Domenico Bianculli, Lionel Briand
2023· article· en· ACM Transactions on Software Engineering and Methodology· Computer Science
distilled prediction:candidate · noneconsensus · none
8
citations
affunlabeled
Facet-oriented Modelling
Juan de Lara, Esther Guerra, Jörg Kienzle
2021· article· en· ACM Transactions on Software Engineering and Methodology· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
7
citations
afffundunlabeled
Use case and task models
Daniel Sinnig, Patrice Chalin, Ferhat Khendek
2013· article· en· ACM Transactions on Software Engineering and Methodology· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
6
citations
afffundunlabeled
Type-Based Call Graph Construction Algorithms for Scala
Karim Ali, Marianna Rapoport, Ondřej Lhoták, Julian Dolby, Frank Tip
2015· article· en· ACM Transactions on Software Engineering and Methodology· Computer Science
distilled prediction:candidate · noneconsensus · none
6
citations
affunlabeled
History-Driven Fuzzing for Deep Learning Libraries
Nima Shiri Harzevili, Mohammad Mahdi Mohajer, Moshi Wei, Hung Viet Pham, Song Wang
2024· article· en· ACM Transactions on Software Engineering and Methodology· Computer Science
distilled prediction:candidate · noneconsensus · none
5
citations
afffundunlabeled
Programming by Example Made Easy
Jiarong Wu, Lili Wei, Yanyan Jiang, Shing-Chi Cheung, Luyao Ren, Chang Xu
2023· article· en· ACM Transactions on Software Engineering and Methodology· Computer Science
distilled prediction:candidate · noneconsensus · none
4
citations
affunlabeled
An Exploratory Study on Machine Learning Model Management
Jasmine Latendresse, Samuel Abedu, Ahmad Abdellatif, Emad Shihab
2024· article· en· ACM Transactions on Software Engineering and Methodology· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
4
citations
affunlabeled
Leveraging Reviewer Experience in Code Review Comment Generation
Hong Yi Lin, Patanamon Thongtanunam, Christoph Treude, Michael W. Godfrey, Chunhua Liu, Wachiraphan Charoenwet
2025· article· en· ACM Transactions on Software Engineering and Methodology· Computer Science
distilled prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Views
Brian Demsky, Patrick Lam
2013· article· en· ACM Transactions on Software Engineering and Methodology· Computer Science
distilled prediction:candidate · noneconsensus · none
3
citations

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