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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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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 25 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
OLED Using DMA
Warren Gay
2024· book-chapter· en· Maker Innovations Series· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
2007 URCAS Program
2009· other· en· DLynx (Rhodes College)· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
MediumwaveDXpeditiontoChina
2013· other· en· Bulletin of Miscellaneous Information (Royal Gardens Kew)· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
SQL Server Rises to the Clouds
Bob Ward
2024· book-chapter· en· Apress eBooks· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Steady state model for IT-SOFC
Jonathan Lesmayoux, Amine Jaafar, Christophe Turpin, Olivier Rallières, Théophile Hordé, Jukka Göös +1 more
2019· preprint· en· HAL (Le Centre pour la Communication Scientifique Directe)· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
5th workshop on cloud computing
Marin Litoiu, Joe Wigglesworth, Tinny Ng
2014· article· en· Computer Science and Software Engineering· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Web Based EIS to Support Entrepreneurs and SMEs Analysis
Zahid Javed, Muhammad Shakeel Faridi, M.Haris Abid, Shams-ul- Hassan, Abdul Hyee, Fahad Jan
2011· article· en· Computer and Information Science· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
UV-CDAT 2.1.0
D. N. Williams, Charles Doutriaux, Thomas Maxwell, Aashish Chaudhary, David E DeMarle, David Lonie +14 more
2015· article· en· Zenodo (CERN European Organization for Nuclear Research)· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Deploying a virtual machine in xen
Donald R. Williams, Joan Garcı́a, S CROSBY
2007· book-chapter· en· Elsevier eBooks· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/0967-0653(94)93508-4
2000· article· en· Time to knit· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
Carbon-Aware Server Replacement
Iris Uwizeyimana, Natalie Enright Jerger
2025· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About