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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
fundfunder
venuejournal
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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 31 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
DB2 LUW Optimizer
Malcolm Singh, Anthony Reina
2010· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
WISE: a computer system performance index scoring framework
Lorenzo Luciano, Imre Kiss, Peter William Beardshear, Esther Kadosh, A. Ben Hamza
2021· preprint· en· Journal of Cloud Computing Advances Systems and Applications· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
CLIENT DEALER WEB APPLICATION PORTAL
2022· article· en· International Journal For Innovative Engineering and Management Research· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affunlabeled
Creating a Community Cloud
Conrad Stoesz, Jason Hildebrand, Greg Bak
2024· article· en· Archivaria· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Long-Term Mentoring for Computer Science Researchers
Emily Ruppel, Sihang Liu, Elba Garza, Sukyoung Ryu, Alexandra Silva, Talia Ringer
2023· article· en· Communications of the ACM· Computer Science
machine prediction:candidate · metaresearchconsensus · none
0
citations
affaboutunlabeled
OMR: out-of-core MapReduce for large data sets
Gurneet Kaur, Keval Vora, Sai Charan Koduru, Rajiv Gupta
2018· article· en· ACM SIGPLAN Notices· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Conclusions and Future Directions
Zhou Su, Qichao Xu, Kuan Zhang, Xuemin Shen
2016· book-chapter· en· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Reflections on being CCR editor 2008--2012
Srinivasan Keshav
2019· article· en· ACM SIGCOMM Computer Communication Review· Computer Science
machine prediction:candidate · metaresearchconsensus · none
0
citations
aboutno affunlabeled
Why don't you?
2013· other· en· York University Digital Library (York University)· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
Software Migration:A Theoretical Framework.
Santiago Bragagnolo, Nicolas Anquetil, Sté́phane Ducasse, Abdelhak-Djamel Seriai, Mustapha Derras
2021· report· en· HAL (Le Centre pour la Communication Scientifique Directe)· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About