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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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Open Source Software Innovations
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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.

725 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.
725 works in the cohort · of 4,299,418page 2 of 15

Labels cover 4 of 725 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 725 of 725 works in this cohort. Predictions are machine_predicted_unvalidated. The Gemma side is a direct model label for every work (title-only); the Codex side is a distilled, calibrated classifier. Candidate is the union; consensus is the intersection.

affunlabeled
Understanding "watchers" on GitHub
Jyoti Sheoran, Kelly Blincoe, Eirini Kalliamvakou, Daniela Damian, Jordan Ell
2014· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
59
citations
affunlabeled
How to Find Answers within Your Company
Hind Benbya, Marshall Van Alstyne
2010· article· en· SSRN Electronic Journal· Computer Science
machine prediction:candidate · noneconsensus · none
57
citations
affunlabeled
An open source pharma roadmap
Manica Balasegaram, Peter Kolb, John C. McKew, Jaykumar Menon, Piero Olliaro, Tomasz Sablinski +4 more
2017· article· en· PLoS Medicine· Computer Science
machine prediction:candidate · open_scienceconsensus · none
52
citations
affno abstractunlabeled
Ethics in computer software design and development
A. J. Thomson, Daniel L. Schmoldt
2001· article· en· Computers and Electronics in Agriculture· Computer Science
machine prediction:candidate · noneconsensus · none
50
citations
fundno affunlabeled
Competitive Strategy for Open Source Software
Vineet Kumar, Brett R. Gordon, Kannan Srinivasan
2011· article· en· Marketing Science· Computer Science
machine prediction:candidate · noneconsensus · none
48
citations
affno abstractunlabeled
Evolution of Open Source Communities
Michael Weiß, Gabriella Moroiu, Ping Zhao
2006· book-chapter· en· IFIP International Federation for Information Processing/IFIP· Computer Science
machine prediction:candidate · open_scienceconsensus · none
45
citations
affunlabeled
The role of patch review in software evolution
Mehrdad Nurolahzade, Seyed Mehdi Nasehi, Shahedul Huq Khandkar, Shreya Rawal
2009· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
43
citations
afffundunlabeled
Measuring user influence in GitHub
Ali Sajedi Badashian, Eleni Stroulia
2016· article· en· Computer Science
machine prediction:candidate · bibliometricsconsensus · none
38
citations
affno abstractunlabeled
The Value of Open Source Software
Manuel Hoffmann, Frank Nagle, Yanuo Zhou
2024· article· en· SSRN Electronic Journal· Computer Science
machine prediction:candidate · noneconsensus · none
36
citations
affunlabeled
Fostering reproducibility in industry-academia research
Barbara R. Jasny, N. S. Wigginton, Marcia McNutt, Tania Bubela, Stuart Buck, Robert Cook‐Deegan +14 more
2017· article· en· Science· Computer Science
machine prediction:candidate · metaresearch+open_scienceconsensus · metaresearch
36
citations
affno abstractunlabeled
Management of community contributions
Nicolas Bettenburg, Ahmed E. Hassan, Bram Adams, Daniel M. Germán
2013· article· en· Empirical Software Engineering· Computer Science
machine prediction:candidate · stsconsensus · none
34
citations
affno abstractunlabeled
Google summer of code: Student motivations and contributions
Jefferson O. Silva, Igor Wiese, Daniel M. Germán, Christoph Treude, Marco Aurélio Gerosa, Igor Steinmacher
2020· article· en· Singapore Management University Institutional Knowledge (InK) (Singapore Management University)· Computer Science
machine prediction:candidate · noneconsensus · none
33
citations
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