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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
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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 12 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
Domain analysis of dynamic system reconfiguration
James D’Arcy Walsh, Francis Bordeleau, Bran Selić
2007· article· en· Software & Systems Modeling· Computer Science
machine prediction:candidate · noneconsensus · none
7
citations
affunlabeled
Answering the Call of the Wild?
Seiede Reyhane Kamali, Shirin Kasaei, Roberto E. Lopez-Herrejon
2019· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
7
citations
affunlabeled
Software Engineering Research in the Bazaar
Ahmed E. Hassan, Michael W. Godfrey, Richard C. Holt
2001· article· en· Otolaryngologic Clinics of North America· Computer Science
machine prediction:candidate · noneconsensus · none
7
citations
afffundunlabeled
ISSUES AND MODELS IN SOFTWARE PRODUCT LINES
Jorge L. Díaz‐Herrera, Peter Knauber, Giancarlo Succi
2000· article· en· International Journal of Software Engineering and Knowledge Engineering· Computer Science
machine prediction:candidate · noneconsensus · none
7
citations
affunlabeled
MetaLexer
Andrew R. Casey, Laurie Hendren
2011· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
7
citations
affunlabeled
The mysteries of goal decomposition
Scott M. Munro, Sotirios Liaskos, Jorge Aranda
2011· article· en· iStar· Computer Science
machine prediction:candidate · noneconsensus · none
7
citations
affunlabeled
Developing Families of Method-Oriented Architecture
Mohsen Asadi, Bardia Mohabbati, Dragan Gašević, Ebrahim Bagheri
2011· book-chapter· en· IFIP International Federation for Information Processing/IFIP· Computer Science
machine prediction:candidate · noneconsensus · none
7
citations
affno abstractunlabeled
Variability-Aware Datalog
Ramy Shahin, Marsha Chećhik
2020· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
7
citations
afffundunlabeled
TouchRAM
Matthias Schöttle, Omar Alam, Franz-Philippe Garcia, Gunter Mussbacher, Jörg Kienzle
2014· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
6
citations
affunlabeled
Jedd
Ondřej Lhoták, Laurie Hendren
2004· article· en· ACM SIGPLAN Notices· Computer Science
machine prediction:candidate · noneconsensus · none
6
citations

How this was built: Screen · Findings · About