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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.

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.

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 56 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.

affunlabeled
Feature Evaluation for Automatic Bug Report Summarization (S)
Akalanka Galappaththi, John Anvik
2019· article· en· Proceedings/Proceedings of the ... International Conference on Software Engineering and Knowledge Engineering· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Predictive Techniques in Software Engineering
Jelber Sayyad Shirabad
2010· book-chapter· en· Encyclopedia of Machine Learning· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affvenuegemma · research_integritygpt · research_integritymodels split
Plagiarism Detection in Code-Based Assignments
M. Oullet, D. Guay, J. Watso, P. Morneau-Gagnon, C. Martel, Ettore Merlo
2010· article· en· Proceedings of the Canadian Engineering Education Association (CEEA)· Computer Science
machine prediction:candidate · metaresearch+research_integrityconsensus · none
1
citations
affunlabeled
A Metrics Suite for Measuring Indirect Coupling Complexity
José Navas-Sú, Antonio González-Torres, Marco A. Hernandez-Vasquez, Jennier Solano-Cordero, Franklin Hernández-Castro, Ayşe Bener
2023· article· en· Programming and Computer Software· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About