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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 Techniques and Practices
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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
aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

1,138 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.
1,138 works in the cohort · of 4,299,418page 14 of 23

Labels cover 1 of 1,138 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 1,138 of 1,138 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affunlabeled
Understanding the Role of Use Cases in UML
Brian Dobing, Jeffrey Parsons
2002· book-chapter· en· IGI Global eBooks· Computer Science
distilled prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Commentary on
Kathy Haramundanis
2002· article· en· ACM Journal of Computer Documentation· Computer Science
distilled prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Recharging robot teams: A tanker approach
P. Zebrowsk, R.T. Vaughan
2005· article· en· ICAR '05. Proceedings., 12th International Conference on Advanced Robotics, 2005.· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
2
citations
affno abstractunlabeled
Software Engineering Process Benchmarking
Vincent Chiew, Yingxu Wang
2002· book-chapter· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
2
citations
affvenueunlabeled
Applicability: What Is It? How Do You Find It?
Virginia Wilson
2010· article· en· Evidence Based Library and Information Practice· Computer Science
distilled prediction:candidate · scholarly_communicationconsensus · scholarly_communication
2
citations
affunlabeled
A little knowledge about software
Diane Kelly, Terry Shepard
2004· article· en· IEEE Software· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
2
citations
fundno affunlabeled
The Future of Refactoring (Dagstuhl Seminar 14211)
Danny Dig, William G. Griswold, Emerson Murphy-Hill, Max Schäfer
2014· article· en· DROPS (Schloss Dagstuhl – Leibniz Center for Informatics)· Computer Science
distilled prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
On the need to monitor continuous integration practices
Jadson Santos, Daniel Alencar da Costa, Shane McIntosh, Uirá Kulesza
2025· article· en· Empirical Software Engineering· Computer Science
distilled prediction:candidate · metaresearchconsensus · none
2
citations

How this was built: Screen · Findings · About