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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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Advanced Memory and Neural Computing
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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.

991 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.
991 works in the cohort · of 4,299,418page 5 of 20

Labels cover 2 of 991 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 991 of 991 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
Topological codes
Héctor Bombín
2013· book-chapter· en· Cambridge University Press eBooks· Engineering
machine prediction:candidate · noneconsensus · none
21
citations
affunlabeled
Intelligent Computing: The Latest Advances, Challenges and Future
Shiqiang Zhu, Ting Yu, Tao Xu, Hongyang Chen, Schahram Dustdar, Sylvain Gigan +15 more
2022· preprint· en· Strathprints: The University of Strathclyde institutional repository (University of Strathclyde)· Engineering
machine prediction:candidate · noneconsensus · none
19
citations
affunlabeled
Deep Learning without Weight Transport
Mohamed Akrout, Collin Wilson, Peter C. Humphreys, Timothy Lillicrap, Douglas Tweed
2019· article· en· arXiv (Cornell University)· Engineering
machine prediction:candidate · noneconsensus · none
18
citations
affunlabeled
Is memristor a dynamic element?
Bocheng Bao, Zhubo Liu, Henry Leung
2013· article· en· Electronics Letters· Engineering
machine prediction:candidate · noneconsensus · none
18
citations
affunlabeled
Logic Design on Mirrored Memristive Crossbars
Amirali Amirsoleimani, Majid Ahmadi, Arash Ahmadi
2017· article· en· IEEE Transactions on Circuits & Systems II Express Briefs· Engineering
machine prediction:candidate · noneconsensus · none
18
citations
affunlabeled
8T1R
Amr M.S. Tosson Abdelwahed, Adam Neale, Mohab Anis, Lan Wei
2016· article· en· Engineering
machine prediction:candidate · noneconsensus · none
18
citations
affno abstractunlabeled
An implantable memristor towards biomedical applications
Shouhui Zhu, Zelin Cao, Guangdong Zhou, Guoqing Tong, Yanmin Ma, Wenting Yang +3 more
2024· article· en· Applied Materials Today· Engineering
machine prediction:candidate · noneconsensus · none
17
citations

How this was built: Screen · Findings · About