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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.

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 27 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
Micro-economy effect on cloud federation
Jacques Bou Abdo, Jacques Demerjian, Hakima Chaouchi, Rami Yared, Talar Atéchian
2015· preprint· en· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
An Analysis of Dependency Network Evolution in PyPI
Monir Hossain, Nima Mahmoudi, Changyuan Lin
2019· dataset· en· Zenodo (CERN European Organization for Nuclear Research)· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
A predictive resources management for clouds
Mahdee Jodayree, Ryszard Janicki
2020· article· en· Developments of Artificial Intelligence Technologies in Computation and Robotics· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Big data analytics using hadoop
Mohammad Mahdi Doust Mohammadi, Bijan Raahemi, Fatemeh Cheraghchi, Wael Obidallah, Elnaz Bigdeli
2014· article· en· Computer Science and Software Engineering· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
afffundunlabeled
ReStore: Reusing Results of MapReduce Jobs
Iman Elghandour, Ashraf Aboulnaga
2012· preprint· en· arXiv (Cornell University)· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Conclusions and Future Research Directions
Weihua Zhuang, Kaige Qu
2021· book-chapter· en· Wireless networks· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Temperature management in data centers
Nosayba El-Sayed, Ioan Stefanovici, George Amvrosiadis, Andy A. Hwang, Bianca Schroeder
2012· article· en· ACM SIGMETRICS Performance Evaluation Review· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
fundno affunlabeled
Minding the gap
Muli Ben-Yehuda, Eric Van Hensbergen, Marc E. Fiuczynski
2008· article· en· ACM SIGOPS Operating Systems Review· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
An Analysis of Dependency Network Evolution in PyPI
Monir Hossain, Nima Mahmoudi, Changyuan Lin
2019· dataset· en· Zenodo (CERN European Organization for Nuclear Research)· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
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