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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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The Journal of Supercomputing
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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.

162 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.
162 works in the cohort · of 4,299,418page 1 of 4

Labels cover 0 of 162 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 162 of 162 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.

fundno affno abstractunlabeled
The Journal of Supercomputing
2013· paratext· en· The Journal of Supercomputing· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
276
citations
affno abstractunlabeled
UAV-assisted data gathering in wireless sensor networks
Mianxiong Dong, Kaoru Ota, Man Lin, Zunyi Tang, Suguo Du, Haojin Zhu
2014· article· en· The Journal of Supercomputing· Engineering
machine prediction:candidate · noneconsensus · none
166
citations
affno abstractunlabeled
Exploring privacy measurement in federated learning
Gopi Krishna Jagarlamudi, Abbas Yazdinejad, Reza M. Parizi, Seyedamin Pouriyeh
2023· article· en· The Journal of Supercomputing· Computer Science
machine prediction:candidate · noneconsensus · none
49
citations
affno abstractunlabeled
A note on the alternating group network
Eddie Cheng, Ke Qiu, Zhizhang Shen
2010· article· en· The Journal of Supercomputing· Computer Science
machine prediction:candidate · noneconsensus · none
38
citations
affno abstractunlabeled
High performance computing and communications
Keqiu Li, Geyong Min, Laurence T. Yang, Yongquan Wei
2009· article· en· The Journal of Supercomputing· Computer Science
machine prediction:candidate · noneconsensus · none
24
citations
afffundno abstractunlabeled
Emotion recognition models for companion robots
Ritvik Nimmagadda, Kritika Arora, Miguel Vargas Martín
2022· article· en· The Journal of Supercomputing· Psychology
machine prediction:candidate · noneconsensus · none
22
citations
affno abstractunlabeled
Green computing and communications
Samee U. Khan, Lizhe Wang, Laurence T. Yang
2011· article· en· The Journal of Supercomputing· Engineering
machine prediction:candidate · noneconsensus · none
15
citations
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