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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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Network Security and Intrusion Detection
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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.

1,999 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.
1,999 works in the cohort · of 4,299,418page 29 of 40

Labels cover 2 of 1,999 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 1,999 of 1,999 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.

aboutno affunlabeled
Study of the Aduances of PKI Technology
Wei Wu
2002· article· en· Electronic Product Reliability and Environmental Testing· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Source Detection of SYN Flooding Attacks
Martine Bellaïche, Jean‐Charles Grégoire
2009· article· en· PolyPublie (École Polytechnique de Montréal)· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
The Lannion report on Big Data and Security Monitoring Research
Laurent d’Orazio, Jalil Boukhobza, Omer Rana, Juba Agoun, Le Gruenwald, Herve Rannou +7 more
2022· article· en· 2022 IEEE International Conference on Big Data (Big Data)· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
venueno affno abstractunlabeled
Configuring Snort as a Firewall on Windows 7 Environment
Moath Alsafasfeh, Abdel Ilah Nour Alshbatat
2011· article· en· Journal of Ubiquitous Systems and Pervasive Networks· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Multi-level Frequent Pattern Mining on Pipeline Incident Data
Connor C.J. Hryhoruk, Carson K. Leung, Jingyuan Li, Brandon A. Narine, Felix Wedel
2024· book-chapter· en· Lecture notes on data engineering and communications technologies· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
afffundno abstractunlabeled
DNS user profiling and risk assessment: A learning approach
Yaser Baseri, Mahdi Daghmehchi Firoozjaei, Somayeh Sadeghi, William Belanger, Roozbeh Razavi‐Far
2025· article· en· Future Generation Computer Systems· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About