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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
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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.

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 24 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 teacher distillation outputs. Candidate is the union; consensus is the intersection.

afffundunlabeled
Guidelines for evaluating bug‐assignment research
Ali Sajedi‐Badashian, Eleni Stroulia
2020· article· en· Journal of Software Evolution and Process· Computer Science
distilled prediction:candidate · metaresearchconsensus · none
20
citations
affno abstractunlabeled
API documentation with executable examples
Daniel Hoffman, Paul Strooper
2003· article· en· Journal of Systems and Software· Computer Science
distilled prediction:candidate · noneconsensus · none
20
citations
affno abstractunlabeled
User?s manual as a requirements specification: case studies
Daniel M. Berry, Khuzaima Daudjee, Jing Dong, I. Fainchtein, Milo Nelson, Torsten Nelson +1 more
2004· article· en· Requirements Engineering· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
19
citations
affunlabeled
CCVisu
Dirk Beyer
2008· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
19
citations
affunlabeled
Design pattern rationale graphs: linking design to source
Elisa Baniassad, G.C. Murphy, C. Schwanninger
2003· article· en· 25th International Conference on Software Engineering, 2003. Proceedings.· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
19
citations
affunlabeled
Metrics suite for class complexity
John Michura, Miriam A. M. Capretz
2005· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
19
citations
afffundno abstractunlabeled
Task-directed software inspection
Diane Kelly, Terry Shepard
2003· article· en· Journal of Systems and Software· Computer Science
distilled prediction:candidate · noneconsensus · none
19
citations
afffundunlabeled
Method-level Bug Prediction: Problems and Promises
Shaiful Chowdhury, Gias Uddin, Hadi Hemmati, Reid Holmes
2024· article· en· ACM Transactions on Software Engineering and Methodology· Computer Science
distilled prediction:candidate · noneconsensus · none
19
citations
affno abstractunlabeled
Tag recommendation for open source software
Tao Wang, Huaimin Wang, Gang Yin, Charles X. Ling, Xiao Li, Peng Zou
2013· article· en· Frontiers of Computer Science· Computer Science
distilled prediction:candidate · open_scienceconsensus · none
19
citations

How this was built: Screen · Findings · About