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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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Internet Traffic Analysis and Secure E-voting
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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
fundfunder
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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.

603 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
603 works in the cohort · of 4,299,418page 4 of 13

Labels cover 2 of 603 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 603 of 603 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
Online Classification of Network Flows
Mahbod Tavallaee, Wei Lu, Ali A. Ghorbani
2009· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
14
citations
affunlabeled
Characterizing cyberlocker traffic flows
Aniket Mahanti, Niklas Carlsson, Martin Arlitt, Carey Williamson
2012· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
13
citations
affunlabeled
Efficient Methods for Early Protocol Identification
Béla Hullár, Sándor Laki, András György
2014· article· en· IEEE Journal on Selected Areas in Communications· Computer Science
machine prediction:candidate · noneconsensus · none
13
citations
affunlabeled
Concealing for Freedom
Ksenia Ermoshina, Francesca Musiani
2022· book· en· Mattering Press eBooks· Computer Science
machine prediction:candidate · noneconsensus · none
13
citations
affno abstractunlabeled
Security and Privacy in Communication Networks
Joaquín García-Alfaro, Shujun Li, Radha Poovendran, Hervé Debar, Moti Yung
2021· book· en· Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering· Computer Science
machine prediction:candidate · noneconsensus · none
12
citations
affno abstractunlabeled
A Framework for Privacy-Preserving E-learning
Esma Aı̈meur, Hicham Hage, Flavien Serge Mani Onana
2007· book-chapter· en· Computer Science
machine prediction:candidate · noneconsensus · none
11
citations
affno abstractunlabeled
The Threat of SSL/TLS Stripping to Online Voting
Anthony Cardillo, Aleksander Essex
2018· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
11
citations
affunlabeled
Extending Nymble-like Systems
Ryan Henry, Ian Goldberg
2011· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
11
citations
affunlabeled
Keychain-Based Signatures for Securing BGP
Heng Yin, Bo Sheng, Haining Wang, Jianping Pan
2010· article· en· IEEE Journal on Selected Areas in Communications· Computer Science
machine prediction:candidate · noneconsensus · none
11
citations

How this was built: Screen · Findings · About