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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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Empirical Software Engineering
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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.

371 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.
371 works in the cohort · of 4,299,418page 5 of 8

Labels cover 1 of 371 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 371 of 371 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.

afffundno abstractunlabeled
A study of documentation for software architecture
Neil Ernst, Martin P. Robillard
2023· article· en· Empirical Software Engineering· Computer Science
machine prediction:candidate · metaresearchconsensus · none
13
citations
affno abstractunlabeled
Clones in deep learning code: what, where, and why?
Hadhemi Jebnoun, Md Saidur Rahman, Foutse Khomh, Biruk Asmare Muse
2022· article· en· Empirical Software Engineering· Computer Science
machine prediction:candidate · noneconsensus · none
12
citations
affunlabeled
The nature of build changes
Christian Macho, Stefanie Beyer, Shane McIntosh, Martin Pinzger
2021· article· en· Empirical Software Engineering· Computer Science
machine prediction:candidate · noneconsensus · none
12
citations
afffundno abstractunlabeled
The sense of logging in the Linux kernel
Keyur P. Patel, João Faccin, Abdelwahab Hamou‐Lhadj, Ingrid Nunes
2022· article· en· Empirical Software Engineering· Computer Science
machine prediction:candidate · noneconsensus · none
12
citations
afffundno abstractunlabeled
How programmers find online learning resources
Deeksha M. Arya, Jin Guo, Martin P. Robillard
2022· article· en· Empirical Software Engineering· Computer Science
machine prediction:candidate · noneconsensus · none
12
citations
affno abstractunlabeled
Getting to the Source of Ethical Issues
Norman G. Vinson, Janice Singer
2001· article· en· Empirical Software Engineering· Social Sciences
machine prediction:candidate · metaresearchconsensus · none
11
citations
afffundno abstractunlabeled
Towards a change taxonomy for machine learning pipelines
Aaditya Bhatia, Ellis E. Eghan, Manel Grichi, W. G. Cavanagh, Zhen Ming Jiang, Bram Adams
2023· article· en· Empirical Software Engineering· Computer Science
machine prediction:candidate · noneconsensus · none
11
citations
affno abstractunlabeled
What is an app store? The software engineering perspective
Wenhan Zhu, Sebastian Proksch, Daniel M. Germán, Michael W. Godfrey, Li Li, Shane McIntosh
2024· article· en· Empirical Software Engineering· Computer Science
machine prediction:candidate · noneconsensus · none
11
citations
affno abstractunlabeled
An empirical study of the integration time of fixed issues
Daniel Alencar da Costa, Shane McIntosh, Uirá Kulesza, Ahmed E. Hassan, Surafel Lemma Abebe
2017· article· en· Empirical Software Engineering· Computer Science
machine prediction:candidate · noneconsensus · none
10
citations
afffundno abstractunlabeled
TraceSim: An Alignment Method for Computing Stack Trace Similarity
Irving Muller Rodrigues, Aleksandr Khvorov, Daniel Aloise, Roman Vasiliev, Dmitrij Koznov, Eraldo Rezende Fernandes +3 more
2022· article· en· Empirical Software Engineering· Computer Science
machine prediction:candidate · noneconsensus · none
10
citations
affno abstractunlabeled
Tracking bad updates in mobile apps: a search-based approach
Islem Saidani, Ali Ouni, Md Ahasanuzzaman, Safwat Hassan, Mohamed Wiem Mkaouer, Ahmed E. Hassan
2022· article· en· Empirical Software Engineering· Computer Science
machine prediction:candidate · noneconsensus · none
10
citations
afffundno abstractunlabeled
Quality issues in machine learning software systems
Pierre-Olivier Côté, Amin Nikanjam, Rached Bouchoucha, Ilan Basta, Mouna Abidi, Foutse Khomh
2024· article· en· Empirical Software Engineering· Computer Science
machine prediction:candidate · metaresearchconsensus · none
9
citations
affno abstractunlabeled
GBGallery : A benchmark and framework for game testing
Zhuo Li, Yuechen Wu, Lei Ma, Xiaofei Xie, Yingfeng Chen, Changjie Fan
2022· article· en· Empirical Software Engineering· Computer Science
machine prediction:candidate · noneconsensus · none
8
citations
fundno affno abstractunlabeled
18 million links in commit messages: purpose, evolution, and decay
Tao Xiao, Sebastian Baltes, Hideaki Hata, Christoph Treude, Raula Gaikovina Kula, Takashi Ishio +1 more
2023· article· en· Empirical Software Engineering· Social Sciences
machine prediction:candidate · bibliometricsconsensus · none
8
citations
affno abstractunlabeled
On the coordination of vulnerability fixes
Jiahuei Lin, Bram Adams, Ahmed E. Hassan
2023· article· en· Empirical Software Engineering· Computer Science
machine prediction:candidate · noneconsensus · none
8
citations
affno abstractunlabeled
On the Removal of Feature Toggles
Juan Hoyos, Rabe Abdalkareem, Suhaib Mujahid, Emad Shihab, Albeiro Espinosa Bedoya
2021· article· en· Empirical Software Engineering· Computer Science
machine prediction:candidate · noneconsensus · none
8
citations
afffundno abstractunlabeled
Wikifying software artifacts
Mathieu Nassif, Martin P. Robillard
2021· article· en· Empirical Software Engineering· Social Sciences
machine prediction:candidate · metaresearchconsensus · none
7
citations

How this was built: Screen · Findings · About