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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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Advanced Software Engineering Methodologies
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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
fundfunder
venuejournal
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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.

1,299 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.
1,299 works in the cohort · of 4,299,418page 16 of 26

Labels cover 1 of 1,299 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 1,299 of 1,299 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.

venueno affunlabeled
Aspect Oriented Requirements Engineering
Ahmed Yakout A. Mohamed, Abd El Fatah Hegazy, Ahmed Reda Dawood
2010· article· en· Computer and Information Science· Computer Science
machine prediction:candidate · noneconsensus · none
4
citations
affunlabeled
Frameworks and middleware for umanned ground vehicles
Greg Broten, Simon P. Monckton
2005· article· en· Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Responding to Ongoing Change
Alexei Lapouchnian, Eric Yu, Stephanie Deng
2014· article· en· International Journal of Information System Modeling and Design· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
A Product Line engineering practices model
François Coallier, Roger Champagne
2005· article· en· Science of Computer Programming· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Better performance or better manageability?
Mohammad A. Munawar, Paul A. S. Ward
2005· article· en· ACM SIGSOFT Software Engineering Notes· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Registration-based language abstractions
Samuel Davis, Gregor Kiczales
2010· article· en· ACM SIGPLAN Notices· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
affaboutunlabeled
Aspects in Architectural Description
Paul Clements, David Emery, Rich Hilliard, Philippe Kruchten
2007· article· en· ACM SIGSOFT Software Engineering Notes· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Late Binding of AspectJ Advice
Ryan M. Golbeck, Peter Selby, Gregor Kiczales
2010· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Generative techniques for product lines
Greg Butler
2001· article· en· ACM SIGSOFT Software Engineering Notes· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
afffundunlabeled
ACIR: An Aspect-Connector for Intrusion Response
Mohammad Gias Uddin, Hossain Shahriar, Mohammad Zulkernine
2007· article· en· Proceedings - International Computer Software & Applications Conference· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Incremental software design modelling
Omar Alam, Jörg Kienzle
2013· article· en· Conference of the Centre for Advanced Studies on Collaborative Research· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Goal-driven adaptation of internetware
Yunsong Jian, Lin Liu, Jianmin Wang, Eric Yu
2010· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
A Better Way to Teach Software Architecture
Rick Kazman, Michael W. Godfrey, Cesare Pautasso, Anna Liu
2023· book-chapter· en· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations

How this was built: Screen · Findings · About