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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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Mobile Agent-Based Network Management
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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
venuejournal
aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

609 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.
609 works in the cohort · of 4,299,418page 6 of 13

Labels cover 0 of 609 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 609 of 609 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
NIST Data Gateway
Don MacMillan
2012· article· en· Reference Reviews· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
LL(k) optimization of a network protocol parser generator.
Kyle Lavorato, Fahim T. Imam, Thomas Dean
2019· article· en· Conference of the Centre for Advanced Studies on Collaborative Research· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Modelling Agent Protocol Requirements
Jason Heard, Robert C. Kremer
2012· article· en· International Conference on Knowledge Engineering and Ontology Development· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
CCNP BSCI Portable Command Guide
Scott Empson
2007· book· en· CERN Document Server (European Organization for Nuclear Research)· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
1
citations
aboutno affunlabeled
Coalition Network Management System
Eugene D. Turnbaugh
2006· report· en· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Communication Network
Professor Reda Alhajj, Professor Jon Rokne
2014· book-chapter· en· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Preface Special Issue: Networks Optimization Workshop
Dominique Feillet, Gilbert Laporte, Frédéric Semet
2010· article· en· HAL (Le Centre pour la Communication Scientifique Directe)· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
A framework for universal personal computing
Ye Li, Victor C. M. Leung
2002· article· en· Proceedings of ICUPC - 5th International Conference on Universal Personal Communications· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Plug-and-Play Network Service Configuration Using CORBA
Syed Kamran Raza, B. Pagurek, Tony White
2000· book-chapter· en· IFIP advances in information and communication technology· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Optimal Design and Control of Network Resources
Kenzo Okuda, Takeshi Hirota, Mika Ishizuka, Yasuharu Kaneko, Seisho Yasukawa
2019· article· en· NTT technical review· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About