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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 Testing and Debugging Techniques
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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.

996 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.
996 works in the cohort · of 4,299,418page 4 of 20

Labels cover 2 of 996 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 996 of 996 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
Model transformation testing
Gehan Selim, James R. Cordy, Juergen Dingel
2012· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
28
citations
affunlabeled
Clustering support for inadequate test suite reduction
Carmen Coviello, Simone Romano, Giuseppe Scanniello, Alessandro Marchetto, Giuliano Antoniol, Anna Corazza
2018· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
25
citations
afffundunlabeled
Variable strength covering arrays
Sebastian Raaphorst, Lucia Moura, Brett Stevens
2018· article· en· Journal of Combinatorial Designs· Computer Science
machine prediction:candidate · noneconsensus · none
25
citations
fundno affunlabeled
Metamorphic Testing for Web System Security
Nazanin Bayati Chaleshtari, Fabrizio Pastore, Arda Göknil, Lionel Briand
2023· article· en· IEEE Transactions on Software Engineering· Computer Science
machine prediction:candidate · noneconsensus · none
25
citations
affno abstractunlabeled
Toward an Undergraduate League for RoboCup
John Anderson, Jacky Baltes, David Livingston, Elizabeth Sklar, Jonah Tower
2004· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
23
citations
afffundunlabeled
BUGSJS: a benchmark and taxonomy of JavaScript bugs
Péter Gyimesi, Béla Vancsics, Andrea Stocco, Davood Mazinanian, Árpád Beszédes, Rudolf Ferenć +1 more
2020· article· en· Software Testing Verification and Reliability· Computer Science
machine prediction:candidate · noneconsensus · none
23
citations
affunlabeled
Symbolic optimization with SMT solvers
Yi Li, Aws Albarghouthi, Zachary Kincaid, Arie Gurfinkel, Marsha Chećhik
2014· article· en· ACM SIGPLAN Notices· Computer Science
machine prediction:candidate · noneconsensus · none
23
citations
affunlabeled
Grammar‐based test generation with YouGen
Daniel M. Hoffman, David Ly‐Gagnon, Paul Strooper, Hongyi Wang
2010· article· en· Software Practice and Experience· Computer Science
machine prediction:candidate · noneconsensus · none
23
citations
afffundunlabeled
Automatic fault localization for client‐side JavaScript
Frolin S. Ocariza, Guanpeng Li, Karthik Pattabiraman, Ali Mesbah
2015· article· en· Software Testing Verification and Reliability· Computer Science
machine prediction:candidate · noneconsensus · none
23
citations
afffundunlabeled
Detecting Inconsistencies in JavaScript MVC Applications
Frolin S. Ocariza, Karthik Pattabiraman, Ali Mesbah
2015· article· en· 2015 IEEE/ACM 37th IEEE International Conference on Software Engineering· Computer Science
machine prediction:candidate · noneconsensus · none
22
citations

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