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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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ACM Transactions on Software Engineering and Methodology
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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.

200 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.
200 works in the cohort · of 4,299,418page 2 of 4

Labels cover 1 of 200 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 200 of 200 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.

afffundunlabeled
Conditional Commitments
Warda El Kholy, Jamal Bentahar, Mohamed El Menshawy, Hongyang Qu, Rachida Dssouli
2014· article· en· ACM Transactions on Software Engineering and Methodology· Computer Science
machine prediction:candidate · noneconsensus · none
23
citations
affunlabeled
Reasoning about static and dynamic properties in alloy
Marcelo F. Frias, Carlos G. López Pombo, Gabriel Alfredo Baum, Nazareno Aguirre, T. S. E. Maibaum
2005· article· en· ACM Transactions on Software Engineering and Methodology· Computer Science
machine prediction:candidate · noneconsensus · none
20
citations
affunlabeled
Software Engineering by and for Humans in an AI Era
Silvia Abrahão, John Grundy, Mauro Pezzè, Margaret‐Anne Storey, Damian A. Tamburri
2025· article· en· ACM Transactions on Software Engineering and Methodology· Computer Science
machine prediction:candidate · noneconsensus · none
20
citations
affunlabeled
LLM-Powered Static Binary Taint Analysis
Puzhuo Liu, C. P. Sun, Yaowen Zheng, Chuan Qin, Y. F. Wang, Zhenyang Xu +4 more
2025· article· en· ACM Transactions on Software Engineering and Methodology· Computer Science
machine prediction:candidate · noneconsensus · none
20
citations
afffundunlabeled
Method-level Bug Prediction: Problems and Promises
Shaiful Chowdhury, Gias Uddin, Hadi Hemmati, Reid Holmes
2024· article· en· ACM Transactions on Software Engineering and Methodology· Computer Science
machine prediction:candidate · noneconsensus · none
19
citations
affunlabeled
Open Source License Inconsistencies on GitHub
Thomas Wolter, Ann Barcomb, Dirk Riehle, Nikolay Harutyunyan
2022· article· en· ACM Transactions on Software Engineering and Methodology· Computer Science
machine prediction:candidate · open_scienceconsensus · none
18
citations
affunlabeled
Test Case Prioritization Using Extended Digraphs
Sepideh Emam, James Miller
2015· article· en· ACM Transactions on Software Engineering and Methodology· Computer Science
machine prediction:candidate · noneconsensus · none
16
citations
affunlabeled
Automated cookie collection testing
Andrew F. Tappenden, James Miller
2014· article· en· ACM Transactions on Software Engineering and Methodology· Computer Science
machine prediction:candidate · noneconsensus · none
14
citations
afffundunlabeled
Proof linking
Philip Fong, Robert D. Cameron
2000· article· en· ACM Transactions on Software Engineering and Methodology· Computer Science
machine prediction:candidate · noneconsensus · none
14
citations
affunlabeled
Dependency Update Strategies and Package Characteristics
Abbas Javan Jafari, Diego Elias Costa, Emad Shihab, Rabe Abdalkareem
2023· article· en· ACM Transactions on Software Engineering and Methodology· Computer Science
machine prediction:candidate · noneconsensus · none
13
citations
affunlabeled
A Disruptive Research Playbook for Studying Disruptive Innovations
Margaret‐Anne Storey, Daniel Russo, Nicole Novielli, Takashi Kobayashi, Dong Wang
2024· article· en· ACM Transactions on Software Engineering and Methodology· Computer Science
machine prediction:candidate · metaresearchconsensus · none
12
citations
afffundunlabeled
On the Caching Schemes to Speed Up Program Reduction
Yongqiang Tian, Xueyan Zhang, Yiwen Dong, Zhenyang Xu, Mengxiao Zhang, Yu Jiang +2 more
2023· article· en· ACM Transactions on Software Engineering and Methodology· Computer Science
machine prediction:candidate · noneconsensus · none
12
citations

How this was built: Screen · Findings · About