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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
Evidence
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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 19 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
Mining challenge 2012: the Android platform
Emad Shihab, Yasutaka Kamei, Pamela Bhattacharya
2012· article· en· Mining Software Repositories· Computer Science
distilled prediction:candidate · noneconsensus · none
28
citations
affunlabeled
Crowdsourced bug triaging
Ali Sajedi Badashian, Abram Hindle, Eleni Stroulia
2015· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
28
citations
affunlabeled
Judging a commit by its cover
Eddie Antonio Santos, Abram Hindle
2016· article· en· Computer Science
distilled prediction:candidate · insufficient_payloadconsensus · none
28
citations
aboutno affunlabeled
Republication of conference papers in journals?
Yuehong Zhang, Xiaoyan Jia
2013· article· en· Learned Publishing· Computer Science
distilled prediction:candidate · scholarly_communicationconsensus · none
28
citations
affunlabeled
Facilitating software evolution research with kenyon
Jennifer L. Bevan, E. James Whitehead, Sunghun Kim, Michael W. Godfrey
2005· article· en· ACM SIGSOFT Software Engineering Notes· Computer Science
distilled prediction:candidate · metaresearch+metaepi_narrowconsensus · none
27
citations
afffundunlabeled
YARN: Animating Software Evolution
Abram Hindle, Zhen Ming Jiang, Walid Koleilat, Michael W. Godfrey, Richard C. Holt
2007· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
27
citations
afffundunlabeled
Retrieving information from data flow diagrams
Gregory Butler, Peter Grogono, R. Shinghal, I. A. Tjandra
2002· article· en· Computer Science
distilled prediction:candidate · insufficient_payloadconsensus · none
27
citations
affunlabeled
Enriched event streams
Sebastian Proksch, Sven Amann, Sarah Nadi
2018· article· en· Computer Science
distilled prediction:candidate · insufficient_payloadconsensus · none
27
citations
affunlabeled
Refactoring use case models on episodes
Wei Yu, Jun Li, Gregory Butler
2004· article· en· Spectrum Research Repository (Concordia University)· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
26
citations
affunlabeled
Deep Learning for Code Intelligence: Survey, Benchmark and Toolkit
Yao Wan, Zhangqian Bi, Yang He, Jianguo Zhang, Hongyu Zhang, Yulei Sui +3 more
2024· review· en· ACM Computing Surveys· Computer Science
distilled prediction:candidate · metaresearch+metaepi_narrow+scholarly_communicationconsensus · none
26
citations
affunlabeled
Anchoring and adjustment in software estimation
Jorge Aranda, Steve Easterbrook
2005· article· en· ACM SIGSOFT Software Engineering Notes· Computer Science
distilled prediction:candidate · metaresearch+metaepi_narrowconsensus · none
26
citations
affunlabeled
Which library should I use?
Fernando López de la Mora, Sarah Nadi
2018· article· en· Computer Science
distilled prediction:candidate · insufficient_payloadconsensus · none
26
citations

How this was built: Screen · Findings · About