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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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Software Engineering Research
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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.

3,468 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.
3,468 works in the cohort · of 4,299,418page 31 of 70

Labels cover 10 of 3,468 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 3,468 of 3,468 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affno abstractunlabeled
Using FCA to Suggest Refactorings to Correct Design Defects
Naouel Moha, Jihene Rezgui, Yann‐Gaël Guéhéneuc, Petko Valtchev, Ghizlane El Boussaidi
2008· book-chapter· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
13
citations
affno abstractunlabeled
Using code reviews to automatically configure static analysis tools
Fiorella Zampetti, Saghan Mudbhari, Venera Arnaoudova, Massimiliano Di Penta, Sebastiano Panichella, Giuliano Antoniol
2021· article· en· Empirical Software Engineering· Computer Science
distilled prediction:candidate · metaresearch+metaepi_narrowconsensus · none
13
citations
affunlabeled
On Measuring Vulnerable JavaScript Functions in the Wild
Maryna Kluban, Mohammad Mannan, Amr Youssef
2022· article· en· Proceedings of the 2022 ACM on Asia Conference on Computer and Communications Security· Computer Science
distilled prediction:candidate · open_scienceconsensus · none
13
citations
affunlabeled
Convergent Software Peer Review Practices
Peter C. Rigby, Christian Bird
2013· article· en· Foundations of Software Engineering· Computer Science
distilled prediction:candidate · metaresearchconsensus · none
13
citations
affunlabeled
Detecting inefficient API usage
David Kawrykow, Martin P. Robillard
2009· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
13
citations
affunlabeled
Visualizing the evolution of code clones
Ripon K. Saha, Chanchal K. Roy, Kevin A. Schneider
2011· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
13
citations
afffundunlabeled
ACUA: API Change and Usage Auditor
Wei Wu, Bram Adams, Yann‐Gaël Guéhéneuc, Giuliano Antoniol
2014· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
12
citations
affunlabeled
Design pattern detection using FINDER
Haneen Dabain, Ayesha Manzer, Vassilios Tzerpos
2015· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
12
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
distilled prediction:candidate · metaepi_narrowconsensus · none
12
citations
affunlabeled
ASSOCIATION ANALYSIS OF SOFTWARE MEASURES
Witold Pedrycz, Giancarlo Succi, Mae-Hee Chun
2002· article· en· International Journal of Software Engineering and Knowledge Engineering· Computer Science
distilled prediction:candidate · noneconsensus · none
12
citations
affunlabeled
Accurate method and variable tracking in commit history
Mehran Jodavi, Nikolaos Tsantalis
2022· article· en· Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
12
citations

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