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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.

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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 37 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
Refactoring debt
Anthony Peruma, Eman Abdullah AlOmar, Christian D. Newman, Mohamed Wiem Mkaouer, Ali Ouni
2022· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
8
citations
affunlabeled
Panel: empirical validation: what, why, when, and how
Robert J. Walker, Lionel Briand, David Notkin, Carolyn Seaman, Walter F. Tichy
2003· article· en· International Conference on Software Engineering· Computer Science
distilled prediction:candidate · scholarly_communicationconsensus · none
8
citations
affunlabeled
Functional Complexity Measurement
De Tran-Cao, Alain Abran, Ghislain Lévesque
2001· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
8
citations
afffundunlabeled
LAMNER
Rishab Sharma, Fuxiang Chen, Fatemeh H. Fard
2022· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
8
citations
affunlabeled
An IDE-based context-aware meta search engine
Mohammad Masudur Rahman, Shamima Yeasmin, Chanchal K. Roy
2013· preprint· en· Computer Science
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · none
8
citations
affno abstractunlabeled
On the Removal of Feature Toggles
Juan Hoyos, Rabe Abdalkareem, Suhaib Mujahid, Emad Shihab, Albeiro Espinosa Bedoya
2021· article· en· Empirical Software Engineering· Computer Science
distilled prediction:candidate · noneconsensus · none
8
citations
affunlabeled
A Theory of Program Comprehension
Yann‐Gaël Guéhéneuc
2009· article· en· International Journal of Software Science and Computational Intelligence· Computer Science
distilled prediction:candidate · noneconsensus · none
8
citations
affunlabeled
Continuous Integration Using Gitlab
Mohammed Shamsul Arefeen, Michael Schiller
2019· article· en· Undergraduate Research in Natural and Clinical Science and Technology (URNCST) Journal· Computer Science
distilled prediction:candidate · research_integrityconsensus · none
8
citations
affunlabeled
Spotting the difference
Marconi Lanna, Daniel Amyot
2010· article· en· Software Practice and Experience· Computer Science
distilled prediction:candidate · metaresearchconsensus · none
8
citations
affunlabeled
LLMs and the Infrastructure of CSCW
Chinmay Kulkarni, Tongshuang Wu, Kenneth Holstein, Q. Vera Liao, Min Kyung Lee, Mina Lee +1 more
2023· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
8
citations
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