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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.

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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.

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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 15 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.

afffundunlabeled
PERIDOT: Modeling Execution Time of Spark Applications
Sarah Shah, Yasaman Amannejad, Diwakar Krishnamurthy, Mea Wang
2021· article· en· IEEE Open Journal of the Computer Society· Computer Science
distilled prediction:candidate · noneconsensus · none
6
citations
afffundunlabeled
Hypertracing: Tracing Through Virtualization Layers
Abderrahmane Benbachir, Michel Dagenais
2018· article· en· IEEE Transactions on Cloud Computing· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
6
citations
affunlabeled
How green are cloud patterns?
S. Amirhossein Abtahizadeh, Foutse Khomh, Yann‐Gaël Guéhéneuc
2015· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
6
citations
affunlabeled
Image management in a virtualized data center
Tingxi Tan, Rob Simmonds, Bradley Arlt, Martin Arlitt, Bruce J. Walker
2008· article· en· ACM SIGMETRICS Performance Evaluation Review· Computer Science
distilled prediction:candidate · noneconsensus · none
6
citations
affunlabeled
BIAS Autoscaler
Jaime Dantas, Hamzeh Khazaei, Marin Litoiu
2021· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
6
citations
affunlabeled
Accelerating complex data transfer for cluster computing
Alexey Khrabrov, Eyal de Lara
2016· article· en· IEEE International Conference on Cloud Computing Technology and Science· Computer Science
distilled prediction:candidate · open_scienceconsensus · none
6
citations
affunlabeled
Enhancing application robustness in cloud data centers
Madalin Mihailescu, Andrés Rodriguez, Cristiana Amza, Dmitrijs Palcikovs, Gabriel Iszlai, Andrew Trossman +1 more
2011· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
5
citations
affunlabeled
Power containers
Kai Shen, Arrvindh Shriraman, Sandhya Dwarkadas, Xiao Zhang, Zhuan Chen
2013· article· en· ACM SIGARCH Computer Architecture News· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
5
citations
affunlabeled
Big Data in Massive Parallel Processing
Vijayalakshmi Saravanan, Anpalagan Alagan, Isaac Woungang
2018· book-chapter· en· Advances in data mining and database management book series· Computer Science
distilled prediction:candidate · metaepi_narrow+open_scienceconsensus · open_science
5
citations
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