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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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Neural Networks and Reservoir 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.

affaffiliation
fundfunder
venuejournal
aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

516 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.
516 works in the cohort · of 4,299,418page 4 of 11

Labels cover 0 of 516 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 516 of 516 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.

affno abstractunlabeled
Recurrent Neural Networks
Ke-Lin Du, M. N. S. Swamy
2019· book-chapter· en· Computer Science
machine prediction:candidate · noneconsensus · none
11
citations
affunlabeled
Metaoptic Computational Imaging
Charles Roques‐Carmes, Kai Wang, Yuanmu Yang, Arka Majumdar, Zin Lin
2025· article· en· ACS Photonics· Computer Science
machine prediction:candidate · noneconsensus · none
10
citations
affunlabeled
Reservoir Memory Machines as Neural Computers
Benjamin Paaßen, Alexander Schulz, Terrence C. Stewart, Barbara Hammer
2021· article· en· IEEE Transactions on Neural Networks and Learning Systems· Computer Science
machine prediction:candidate · noneconsensus · none
9
citations
fundno affunlabeled
Towards the web of quantum chaos diagnostics
Arpan Bhattacharyya, Wissam Chemissany, S. Shajidul Haque, Bin Yan
2022· preprint· en· The European Physical Journal C· Computer Science
machine prediction:candidate · noneconsensus · none
9
citations
fundno affunlabeled
Reservoir Computing Speeds Up
Miguel C. Soriano
2017· article· en· Physics· Computer Science
machine prediction:candidate · noneconsensus · none
8
citations
affno abstractunlabeled
Reservoir Computing in MEMS
Guillaume Dion, A. Oudrhiri, Bruno Barazani, Albert Tessier-Poirier, Julien Sylvestre
2021· book-chapter· en· Natural computing series· Computer Science
machine prediction:candidate · noneconsensus · none
8
citations
afffundunlabeled
Key role of neuronal diversity in structured reservoir computing
Jean‐Philippe Thivierge, Éloïse Giraud, Michael Lynn, Annie Théberge Charbonneau
2022· article· en· Chaos An Interdisciplinary Journal of Nonlinear Science· Computer Science
machine prediction:candidate · noneconsensus · none
8
citations
fundno affunlabeled
2022 Roadmap on integrated quantum photonics
Galan Moody, Volker J. Sorger, P Juodawlkis, William Loh, Cheryl Sorace-Agaskar, Marcelo Davanço +42 more
2021· preprint· en· Journal of Physics Photonics· Computer Science
machine prediction:candidate · noneconsensus · none
6
citations

How this was built: Screen · Findings · About