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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.

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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 39 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.

fundno affunlabeled
Designing types for R, empirically
Alexi Turcotte, Aviral Goel, Filip Křikava, Jan Vítek
2020· article· en· Proceedings of the ACM on Programming Languages· Computer Science
distilled prediction:candidate · metaresearchconsensus · none
7
citations
affunlabeled
Registered reports in software engineering
Neil Ernst, María Teresa Baldassarre
2023· editorial· en· Empirical Software Engineering· Computer Science
distilled prediction:candidate · metaresearch+metaepi_narrow+research_integrityconsensus · metaepi_narrow+research_integrity
7
citations
affunlabeled
ADPTriage: Approximate Dynamic Programming for Bug Triage
Hadi Jahanshahi, Mücahit Çevik, Kianoush Mousavi, Ayşe Bener
2023· article· en· IEEE Transactions on Software Engineering· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
7
citations
affunlabeled
RETR: Reverse Engineering to Requirements
Yiyun Yu, John Mylopoulos, Yiqiao Wang, Sotirios Liaskos, Alexei Lapouchnian, Ying Zou +2 more
2006· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
7
citations
affunlabeled
Does Technical Debt Lead to the Rejection of Pull Requests
Marcelino C.O. Silva, Marco Túlio Valente, Ricardo Terra
2016· article· en· IEEE International Conference on Cloud Computing Technology and Science· Computer Science
distilled prediction:candidate · noneconsensus · none
7
citations
affunlabeled
Rhetorical Genres in Code
Kevin Brock, Ashley Rose Mehlenbacher
2017· article· en· Journal of Technical Writing and Communication· Computer Science
distilled prediction:candidate · noneconsensus · none
7
citations
affunlabeled
Eight maxims for software inspectors
Diane Kelly, Terry Shepard
2004· article· en· Software Testing Verification and Reliability· Computer Science
distilled prediction:candidate · metaresearchconsensus · none
7
citations
affunlabeled
2D and 3D visualizations in WikiDev2.0
Marios Fokaefs, Diego Serrano, Brendan Tansey, Eleni Stroulia
2010· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
7
citations
affunlabeled
Continuous Maintenance
Candy Pang, Abram Hindle
2016· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
7
citations
affunlabeled
Report on MSR 2004
Ahmed E. Hassan, Richard C. Holt, Audris Mockus
2005· article· en· ACM SIGSOFT Software Engineering Notes· Computer Science
distilled prediction:candidate · metaresearch+metaepi_narrowconsensus · none
7
citations
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