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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.

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.

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 3 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
On the Feasibility of Malware Authorship Attribution
Saed Alrabaee, Paria Shirani, Mourad Debbabi, Lingyu Wang
2016· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
36
citations
afffundno abstractunlabeled
Obfuscating Java: The Most Pain for the Least Gain
Michael Batchelder, Laurie Hendren
2007· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
36
citations
affunlabeled
The Price is (Not) Right: Comparing Privacy in Free and Paid Apps
Catherine Han, Irwin Reyes, Álvaro Feal, Joel Reardon, Primal Wijesekera, Narseo Vallina-Rodríguez +3 more
2020· article· en· Proceedings on Privacy Enhancing Technologies· Computer Science
machine prediction:candidate · noneconsensus · none
36
citations
affunlabeled
Eliciting confidentiality requirements in practice
Seda Gürses, Jens H. Jahnke, C. Obry, Adeniyi Onabajo, Thomas Santen, Morgan Price
2005· article· en· Conference of the Centre for Advanced Studies on Collaborative Research· Computer Science
machine prediction:candidate · noneconsensus · none
33
citations
afffundunlabeled
Technological and Human Factors of Malware Attacks
Fanny Lalonde Lévesque, Sonia Chiasson, Anil Somayaji, José M. Fernandez
2018· article· en· ACM Transactions on Privacy and Security· Computer Science
machine prediction:candidate · noneconsensus · none
31
citations
afffundno abstractunlabeled
SSPCatcher: Learning to catch security patches
Arthur D. Sawadogo, Tegawendé F. Bissyandé, Naouel Moha, Kevin Allix, Jacques Klein, Li Li +1 more
2022· article· en· Empirical Software Engineering· Computer Science
machine prediction:candidate · noneconsensus · none
27
citations
affunlabeled
BotHunter
Ahmad Abdellatif, Mairieli Wessel, Igor Steinmacher, Marco Aurélio Gerosa, Emad Shihab
2022· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
25
citations
afffundno abstractunlabeled
Empirical study of android repackaged applications
Kobra Khanmohammadi, Neda Ebrahimi, Abdelwahab Hamou‐Lhadj, Raphaël Khoury
2019· article· en· Empirical Software Engineering· Computer Science
machine prediction:candidate · noneconsensus · none
24
citations
venueno affunlabeled
Customized K-nearest neighbors’ algorithm for malware detection
Mosleh M. Abualhaj, Ahmad Adel Abu-Shareha, Qusai Y. Shambour, Adeeb Alsaaidah, Sumaya N. Al-Khatib, Mohammed Anbar
2023· article· en· International Journal of Data and Network Science· Computer Science
machine prediction:candidate · noneconsensus · none
24
citations
fundno affunlabeled
Bots and Beasts
Paul Thagard
2021· book· en· The MIT Press eBooks· Computer Science
machine prediction:candidate · noneconsensus · none
24
citations
afffundunlabeled
To Intercept or Not to Intercept
Louis Waked, Mohammad Mannan, Amr Youssef
2018· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
24
citations

How this was built: Screen · Findings · About