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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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Wireless Signal Modulation Classification
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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.

219 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.
219 works in the cohort · of 4,299,418page 4 of 5

Labels cover 0 of 219 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 219 of 219 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.

aboutno affunlabeled
ICA-2023
2022· article· en· OSF Preprints (OSF Preprints)· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Preface
2021· article· en· Journal of Physics Conference Series· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
AI-Powered Threat Detection and Response for Future 6G Networks
Rajesh Kanna Rajendran, T. Mohana Priya, R. Sakkaravarthi, A. Muthusamy
2025· book-chapter· en· Advances in wireless technologies and telecommunication book series· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Deep Adaptive Transmission for Internet of Vehicles (IoV)
Mehrtash Mehrabi, Mostafa Mohammadkarimi, Masoud Ardakani, Yindi Jing
2020· article· en· 2020 International Conference on Computing, Networking and Communications (ICNC)· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
IWCMC 2023 Keynote Speakers
Mérouane Debbah, Mohamed‐Slim Alouini, Li Hao, Mohamed Bin Zayed
2023· article· en· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations

How this was built: Screen · Findings · About