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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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Advanced Malware Detection 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.

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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.

977 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.
977 works in the cohort · of 4,299,418page 2 of 20

Labels cover 1 of 977 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 977 of 977 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.

affno abstractunlabeled
Unknown malcode detection and the imbalance problem
Robert Moskovitch, Dima Stopel, Clint Feher, Nir Nissim, Nathalie Japkowicz, Yuval Elovici
2009· article· en· Journal in Computer Virology· Computer Science
machine prediction:candidate · noneconsensus · none
68
citations
affunlabeled
Secure Software Installation on Smartphones
David Barrera, Paul C. van Oorschot
2010· article· en· IEEE Security & Privacy· Computer Science
machine prediction:candidate · noneconsensus · none
66
citations
afffundunlabeled
Short paper
Kathy Wain Yee Au, Yi Zhou, Zhen Huang, Phillipa Gill, David Lie
2011· article· en· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
62
citations
affunlabeled
Manitou
Lionel Litty, David Lie
2006· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
55
citations
affno abstractunlabeled
PDF Malware Detection based on Stacking Learning
Maryam Issakhani, Princy Victor, Ali Tekeoglu, Arash Habibi Lashkari
2022· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
54
citations
affunlabeled
<i>FOSSIL</i>
Saed Alrabaee, Paria Shirani, Lingyu Wang, Mourad Debbabi
2018· article· en· ACM Transactions on Privacy and Security· Computer Science
machine prediction:candidate · noneconsensus · none
52
citations
afffundno abstractunlabeled
Bugs in large language models generated code: an empirical study
Florian Tambon, Arghavan Moradidakhel, Amin Nikanjam, Foutse Khomh, Michel C. Desmarais, Giuliano Antoniol
2025· article· en· Empirical Software Engineering· Computer Science
machine prediction:candidate · noneconsensus · none
44
citations
fundno affunlabeled
Cyberwarfare
Sanjay Goel
2011· article· en· Communications of the ACM· Computer Science
machine prediction:candidate · noneconsensus · none
40
citations

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