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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 15 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.

affunlabeled
Why did this code change?
Sarah Rastkar, Gail C. Murphy
2013· article· en· 2013 35th International Conference on Software Engineering (ICSE)· Computer Science
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
38
citations
affunlabeled
JQuery
Edward J. McCormick, Kris De Volder
2004· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
38
citations
affunlabeled
Pattern matching for design concept localization
Kostas Kontogiannis, R. DeMori, M. Bernstein, Michael A. Galler, Ettore Merlo
2002· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
37
citations
affunlabeled
Does Technical Debt Lead to the Rejection of Pull Requests?
Marcelino Campos Oliveira Silva, Marco Túlio Valente, Ricardo Terra
2016· preprint· en· Anais do Simpósio Brasileiro de Sistemas de Informação (SBSI)· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
37
citations
affunlabeled
Should I contribute to this discussion?
Walid M. Ibrahim, Nicolas Bettenburg, Emad Shihab, Bram Adams, Ahmed E. Hassan
2010· article· en· Computer Science
distilled prediction:candidate · insufficient_payloadconsensus · none
37
citations
afffundunlabeled
Unification and refactoring of clones
Giri Panamoottil Krishnan, Nikolaos Tsantalis
2014· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
37
citations
affunlabeled
The Scent of Deep Learning Code
Hadhemi Jebnoun, Houssem Ben Braiek, Mohammad Masudur Rahman, Foutse Khomh
2020· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
36
citations
affunlabeled
EVolve
Qin Wang, Wei Wang, Rhodes Brown, Karel Driesen, Bruno Dufour, Laurie Hendren +1 more
2003· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
36
citations
affunlabeled
ACM SIGSOFT Empirical Standards.
Paul Ralph, Sebastian Baltes, Domenico Bianculli, Yvonne Dittrich, Michael Felderer, Robert Feldt +18 more
2020· article· en· Spiral (Imperial College London)· Computer Science
distilled prediction:candidate · metaresearch+metaepi_narrowconsensus · none
36
citations
affunlabeled
Trust-Based Requirements Traceability
Nasir Ali, Yann‐Gaël Guéhéneuc, Giuliano Antoniol
2011· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
36
citations

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