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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 7 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. 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
A survey of self-admitted technical debt
Giancarlo Sierra, Emad Shihab, Yasutaka Kamei
2019· article· en· Journal of Systems and Software· Computer Science
machine prediction:candidate · noneconsensus · none
78
citations
affunlabeled
Early Detection of Collaboration Conflicts and Risks
Yuriy Brun, Reid Holmes, Michael D. Ernst, David Notkin
2013· article· en· IEEE Transactions on Software Engineering· Computer Science
machine prediction:candidate · noneconsensus · none
78
citations
afffundunlabeled
Security metrics for source code structures
Istehad Chowdhury, Brian Chan, Mohammad Zulkernine
2008· article· en· Computer Science
machine prediction:candidate · metaresearchconsensus · none
77
citations
affunlabeled
Comparative stability of cloned and non-cloned code
Manishankar Mondal, Chanchal K. Roy, Md Saidur Rahman, Ripon K. Saha, Jens Krinke, Kevin A. Schneider
2012· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
77
citations
affunlabeled
Visual Detection of Design Anomalies
Karim Dhambri, Houari Sahraoui, Pierre Poulin
2008· article· en· Proceedings of the ... European Conference on Software Maintenance and Reengineering/Proceedings of the European Conference on Software Maintenance and Reengineering· Computer Science
machine prediction:candidate · noneconsensus · none
75
citations
affunlabeled
Searching and skimming: An exploratory study
Jamie Starke, Chris Luce, Jonathan Sillito
2009· article· en· Computer Science
machine prediction:candidate · metaresearch+scholarly_communicationconsensus · none
75
citations
affunlabeled
Supporting the analysis of clones in software systems
Cory Kapser, Michael W. Godfrey
2006· article· en· Journal of Software Maintenance and Evolution Research and Practice· Computer Science
machine prediction:candidate · noneconsensus · none
74
citations
affno abstractunlabeled
The evolution of Java build systems
Shane McIntosh, Bram Adams, Ahmed E. Hassan
2011· article· en· Empirical Software Engineering· Computer Science
machine prediction:candidate · noneconsensus · none
73
citations
affno abstractunlabeled
Automatic, high accuracy prediction of reopened bugs
Xin Xia, David Lo, Emad Shihab, Xinyu Wang, Bo Zhou
2014· article· en· Automated Software Engineering· Computer Science
machine prediction:candidate · noneconsensus · none
73
citations
afffundunlabeled
Understanding the use of lambda expressions in Java
Davood Mazinanian, Ameya Ketkar, Nikolaos Tsantalis, Danny Dig
2017· article· en· Proceedings of the ACM on Programming Languages· Computer Science
machine prediction:candidate · noneconsensus · none
72
citations

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