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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.

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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 7 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.

affno abstractunlabeled
Enhanced Use Case Map Traversal Semantics
Jason Kealey, Daniel Amyot
2007· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
20
citations
affunlabeled
On the Contributions of an End-to-End AOSD Testbed
Phil Greenwood, Alessandro Garcia, Awais Rashid, Eduardo Figueiredo, Cláudio Sant’Anna, Nélio Cacho +20 more
2007· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
19
citations
affunlabeled
Composing features and resolving interactions
Jonathan D. Hay, Joanne M. Atlee
2000· article· en· ACM SIGSOFT Software Engineering Notes· Computer Science
machine prediction:candidate · noneconsensus · none
18
citations
affunlabeled
Unifying Software and Product Configuration: A Research Roadmap
Arnaud Hubaux, Dietmar Jannach, Conrad Drescher, Tomi Männistö, Krzysztof Czarnecki, Patrick Heymans +1 more
2012· preprint· en· Oxford University Research Archive (ORA) (University of Oxford)· Computer Science
machine prediction:candidate · noneconsensus · none
18
citations
affno abstractunlabeled
Strategic Models for Business Intelligence
Lei Jiang, Daniele Barone, Daniel Amyot, John Mylopoulos
2011· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
17
citations
afffundunlabeled
Towards Autonomic GIPSY
Emil Vassev, Joey Paquet
2008· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
17
citations
affno abstractunlabeled
Abstract Operational Semantics for Use Case Maps
Jameleddine Hassine, Juergen Rilling, Rachida Dssouli
2005· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
17
citations
affno abstractunlabeled
Change Propagation due to Uncertainty Change
Rick Salay, Jan Gorzny, Marsha Chećhik
2013· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
16
citations

How this was built: Screen · Findings · About