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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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Cloud Computing and Resource 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
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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.

1,591 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.
1,591 works in the cohort · of 4,299,418page 3 of 32

Labels cover 1 of 1,591 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 1,591 of 1,591 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
RemusDB
Umar Farooq Minhas, Shriram Rajagopalan, Brendan Cully, Ashraf Aboulnaga, Kenneth Salem, Andrew Warfield
2011· article· en· Proceedings of the VLDB Endowment· Computer Science
machine prediction:candidate · noneconsensus · none
63
citations
affunlabeled
Optimal autoscaling in a IaaS cloud
Hamoun Ghanbari, Bradley Simmons, Marin Litoiu, Cornel Barna, Gabriel Iszlai
2012· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
62
citations
affunlabeled
Automatic virtual machine configuration for database workloads
Ahmed A. Soror, Umar Farooq Minhas, Ashraf Aboulnaga, Kenneth Salem, Peter Kokosielis, Sunil Kamath
2008· article· en· ACM Transactions on Database Systems· Computer Science
machine prediction:candidate · noneconsensus · none
61
citations
affunlabeled
A study of pricing for cloud resources
Hong Xu, Baochun Li
2013· article· en· ACM SIGMETRICS Performance Evaluation Review· Computer Science
machine prediction:candidate · noneconsensus · none
61
citations
affunlabeled
The Virtualization Reality
Simon Crosby, David Brown
2006· article· en· Queue· Computer Science
machine prediction:candidate · noneconsensus · none
57
citations
affunlabeled
SecondSite
Shriram Rajagopalan, Brendan Cully, Ryan O'Connor, Andrew Warfield
2012· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
52
citations
venueno affunlabeled
Disaster Recovery in Cloud Computing: A Survey
Mohammad Ali Khoshkholghi, Azizol Abdullah, Rohaya Latip, Shamala Subramaniam, Мohamed Othman
2014· article· en· Computer and Information Science· Computer Science
machine prediction:candidate · noneconsensus · none
52
citations
affunlabeled
Hailstorm
Laurent Bindschaedler, Ashvin Goel, Willy Zwaenepoel
2020· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
49
citations
affunlabeled
Towards scalable real-time analytics
Anil K. Goel, Jeffrey Pound, Nathan Auch, Peter Bumbulis, Scott MacLean, Franz Färber +4 more
2015· article· en· Proceedings of the VLDB Endowment· Computer Science
machine prediction:candidate · noneconsensus · none
47
citations
affunlabeled
SleepScale
Yanpei Liu, Stark C. Draper, Nam Sung Kim
2014· article· en· ACM SIGARCH Computer Architecture News· Computer Science
machine prediction:candidate · noneconsensus · none
47
citations

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