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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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GLOBECOM 2022 - 2022 IEEE Global Communications Conference
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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
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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.

70 results · 1 filter active ·
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20222022
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Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
70 works in the cohort · of 4,299,418page 1 of 2

Labels cover 0 of 70 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 70 of 70 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affunlabeled
Scheduler Design for Mobility-aware Multipath QUIC
Wenjun Yang, Lin Cai, Shengjie Shu, Jianping Pan
2022· article· en· GLOBECOM 2022 - 2022 IEEE Global Communications Conference· Computer Science
distilled prediction:candidate · metaepi_narrow+sts+open_scienceconsensus · none
11
citations
affunlabeled
On block delivery time in Ethereum network
Soosan Naderi Mighan, Jelena Mišić, Vojislav B. Mišić
2022· article· en· GLOBECOM 2022 - 2022 IEEE Global Communications Conference· Computer Science
distilled prediction:candidate · metaepi_narrow+open_scienceconsensus · open_science
8
citations
affunlabeled
Learning-Based Load-Aware Heterogeneous Vehicular Edge Computing
Zhizhong Zhang, Peng Lin, Omair Shafiq, Yu Zhang, F. Richard Yu
2022· article· en· GLOBECOM 2022 - 2022 IEEE Global Communications Conference· Computer Science
distilled prediction:candidate · metaepi_narrow+sts+open_scienceconsensus · open_science
7
citations
affunlabeled
Transfer Learning with Input Reconstruction Loss
Wei Yu
2022· article· en· GLOBECOM 2022 - 2022 IEEE Global Communications Conference· Computer Science
distilled prediction:candidate · metaepi_narrow+sts+insufficient_payloadconsensus · none
4
citations
affunlabeled
Parallel Computing at the Extreme Edge: Spatiotemporal Analysis
Mahmoud Abdelhadi, Sameh Sorour, Hesham ElSawy, Sara A. Elsayed, Hossam S. Hassanein
2022· article· en· GLOBECOM 2022 - 2022 IEEE Global Communications Conference· Computer Science
distilled prediction:candidate · metaepi_narrow+sts+open_scienceconsensus · open_science
4
citations
afffundunlabeled
Community-Oriented Resource Allocation at the Extreme Edge
Abdalla A. Moustafa, Sara A. Elsayed, Hossam S. Hassanein
2022· article· en· GLOBECOM 2022 - 2022 IEEE Global Communications Conference· Computer Science
distilled prediction:candidate · metaepi_narrow+sts+open_scienceconsensus · open_science
3
citations
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