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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 13 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 teacher distillation outputs. Candidate is the union; consensus is the intersection.

affunlabeled
Cloud Computing for Big Data Processing
Xiaofang Li, Yanbin Zhuang, Simon X. Yang
2017· article· en· Intelligent Automation & Soft Computing· Computer Science
distilled prediction:candidate · metaepi_narrow+sts+scholarly_communication+open_scienceconsensus · none
8
citations
afffundunlabeled
Trace-Driven Scaling of Microservice Applications
Vahid MirzaEbrahim Mostofi, Evan Krul, Diwakar Krishnamurthy, Martin Arlitt
2023· article· en· IEEE Access· Computer Science
distilled prediction:candidate · noneconsensus · none
8
citations
affunlabeled
Safe Inspection of Live Virtual Machines
Sahil Suneja, Ricardo Koller, Canturk Isci, Eyal de Lara, Ali Hashemi, Arnamoy Bhattacharyya +1 more
2017· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
8
citations
affunlabeled
Integrating MapReduce and RDBMSs
Natalie Gruska, Patrick Martin
2010· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
8
citations
affunlabeled
The Case for Energy-Oriented Partial Desktop Migration
Nilton Bila, Eyal de Lara, Matti Hiltunen, Kaustubh Joshi, H. Andrés Lagar-Cavilla, Mahadev Satyanarayanan
2018· article· en· Research Showcase @ Carnegie Mellon University (Carnegie Mellon University)· Computer Science
distilled prediction:candidate · metaepi_narrow+stsconsensus · none
8
citations
affunlabeled
Tiresias
Michael Abebe, Horatiu Lazu, Khuzaima Daudjee
2022· article· en· Proceedings of the VLDB Endowment· Computer Science
distilled prediction:candidate · noneconsensus · none
8
citations
afffundunlabeled
Generic SDE and GA-based workload modeling for cloud systems
Cédric St‐Onge, Souhila Benmakrelouf, Nadjia Kara, Hanine Tout, Claes Edstrom, Rafi Rabipour
2021· article· en· Journal of Cloud Computing Advances Systems and Applications· Computer Science
distilled prediction:candidate · noneconsensus · none
8
citations
affno abstractunlabeled
Big Data Storage
Min Chen, Shiwen Mao, Yin Zhang⋆, Victor C. M. Leung
2014· book-chapter· en· SpringerBriefs in computer science· Computer Science
distilled prediction:candidate · metaepi_narrow+open_scienceconsensus · open_science
8
citations
affunlabeled
ChuQL: processing XML with XQuery using Hadoop
Shahan Khatchadourian, Mariano P. Consens, Jérǒme Simèon
2011· article· en· Conference of the Centre for Advanced Studies on Collaborative Research· Computer Science
distilled prediction:candidate · noneconsensus · none
8
citations
affunlabeled
Sharing across Multiple MapReduce Jobs
Tomasz Nykiel, Michalis Potamias, Chaitanya Mishra, George Kollios, Nick Koudas
2014· article· en· ACM Transactions on Database Systems· Computer Science
distilled prediction:candidate · noneconsensus · none
8
citations
affunlabeled
Towards Dynamic Green-Sizing for Database Servers.
Mustafa Korkmaz, Alexey Karyakin, Martin Karsten, Kenneth Salem
2015· article· en· Very Large Data Bases· Computer Science
distilled prediction:candidate · noneconsensus · none
7
citations
affunlabeled
HORT
Lesley Northam, Rob Smits
2011· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
7
citations
affunlabeled
Taming power peaks in mapreduce clusters
Nan Zhu, Lei Rao, Xue Liu, Jie Liu, Haibin Guan
2011· article· en· ACM SIGCOMM Computer Communication Review· Computer Science
distilled prediction:candidate · metaepi_narrow+open_scienceconsensus · none
7
citations
affunlabeled
Page As You Go
Reza Sherkat, Colin Florendo, Mihnea Andrei, Anil K. Goel, Anisoara Nica, Peter Bumbulis +5 more
2016· article· en· Computer Science
distilled prediction:candidate · insufficient_payloadconsensus · none
7
citations
affunlabeled
Power‐aware server consolidation for federated clouds
Alessandro Leite, Azzedine Boukerche, Alba Cristina Magalhães Alves de Melo, Christine Eisenbeis, Claude Tadonki, Célia Ghedini Ralha
2016· article· en· Concurrency and Computation Practice and Experience· Computer Science
distilled prediction:candidate · noneconsensus · none
7
citations
affunlabeled
The Autonomic Computing Benchmark
Joyce Coleman, T.C. Lau, Bhushan Lokhande, Peter Shum, Robert Wisniewski, Mary Peterson Yost
2008· other· en· Computer Science
distilled prediction:candidate · noneconsensus · none
7
citations
affno abstractunlabeled
Managing Data-Intensive Workloads in a Cloud
Rubina Mian, Patrick Martin, Andrew Brown, Ming Zhang
2011· book-chapter· en· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
7
citations

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