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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.

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.

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 25 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.

affunlabeled
Profiling distributed connection chains
Ahmad Almulhem, Issa Traoré
2008· article· en· International Journal of Communication Networks and Distributed Systems· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
fundno affunlabeled
Traffic networks are vulnerable to disinformation attacks
Marcin Waniek, Gururaghav Raman, Bedoor AlShebli, Jimmy Chih‐Hsien Peng, Talal Rahwan
2021· preprint· en· Scientific Reports· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
A Literature Review of the Seriousness of Flooding-based DoS Attack
Houda Mohammed Albadi, Moaiad Ahmad Khder, Samah Wael Fujo, Tasneem Yousif
2022· review· en· 2022 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT)· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
SEMI-SUPERVISED DYNAMIC CLASSIFICATION FOR INTRUSION DETECTION
Negar Koochakzadeh, Keivan Kianmehr, Jamal Jida, Iltae Lee, Reda Alhajj, Jon Rokne
2010· article· en· International Journal of Software Engineering and Knowledge Engineering· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations

How this was built: Screen · Findings · About